Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for Federal Fiscal Year 2008, 44284-44335 [07-3789]
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Centers for Medicare & Medicaid
Services
42 CFR Part 412
[CMS–1551–F]
RIN 0938–AO63
Medicare Program; Inpatient
Rehabilitation Facility Prospective
Payment System for Federal Fiscal
Year 2008
Centers for Medicare &
Medicaid Services (CMS), HHS.
ACTION: Final rule.
AGENCY:
SUMMARY: This final rule will update the
prospective payment rates for inpatient
rehabilitation facilities (IRFs) for
Federal fiscal year (FY) 2008 (for
discharges occurring on or after October
1, 2007 and on or before September 30,
2008) as required under section
1886(j)(3)(C) of the Social Security Act
(the Act). Section 1886(j)(5) of the Act
requires the Secretary to publish in the
Federal Register on or before the August
1 that precedes the start of each fiscal
year, the classification and weighting
factors for the IRF prospective payment
system’s (PPS) case-mix groups and a
description of the methodology and data
used in computing the prospective
payment rates for that fiscal year.
We are revising existing policies
regarding the PPS within the authority
granted under section 1886(j) of the Act.
DATES: The regulatory changes to 42
CFR part 412 are effective October 1,
2007. The updated IRF prospective
payment rates are applicable for
discharges on or after October 1, 2007
and on or before September 30, 2008.
FOR FURTHER INFORMATION CONTACT: Pete
Diaz, (410) 786–1235, for information
regarding the 75 percent rule.
Susanne Seagrave, (410) 786–0044, for
information regarding the payment
policies.
Zinnia Ng, (410) 786–4587, for
information regarding the wage index
and prospective payment rate
calculation.
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SUPPLEMENTARY INFORMATION:
Table of Contents
I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS) for Fiscal
Years (FYs) 2002 Through 2007
B. Requirements for Updating the IRF PPS
Rates
C. Operational Overview of the Current IRF
PPS
II. Provisions of the Proposed Regulations
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III. Analysis of and Responses to Public
Comments
IV. 75 Percent Rule Policy
V. Classification System for the Inpatient
Rehabilitation Facility Prospective
Payment System
VI. FY 2008 IRF PPS Federal Prospective
Payment Rates
A. FY 2008 IRF Market Basket Increase
Factor and Labor-Related Share
B. Area Wage Adjustment
C. Description of the IRF Standard
Payment Conversion Factor and Payment
Rates for FY 2008
D. Example of the Methodology for
Adjusting the Federal Prospective
Payment Rates
VII. Update to Payments for High-Cost
Outliers Under the IRF PPS
A. Update to the Outlier Threshold
Amount for FY 2008
B. Update to the IRF Cost-to-Charge Ratio
Ceilings
VIII. Clarification to the Regulations Text for
Special Payment Provisions for Patients
That Are Transferred
IX. Miscellaneous Comments Outside the
Scope of the Proposed Rule
X. Provisions of the Final Regulation
XI. Collection of Information Requirement
XII. Regulatory Impact Analysis
A. Overall Impact
B. Anticipated Effects of the Final Rule
C. Anticipated Effects of the 75 Percent
Rule Policy
D. Alternatives Considered
E. Accounting Statement
F. Conclusion
Regulation Text
Addendum
IPPS Inpatient Prospective Payment System
IRF Inpatient Rehabilitation Facility
IRF–PAI Inpatient Rehabilitation FacilityPatient Assessment Instrument
IRF PPS Inpatient Rehabilitation Facility
Prospective Payment System
IRVEN Inpatient Rehabilitation Validation
and Entry
LIP Low-Income Percentage
MEDPAR Medicare Provider Analysis and
Review
MMA Medicare Prescription Drug,
Improvement, and Modernization Act of
2003 (Pub. L. 108–173)
MSA Metropolitan Statistical Area
NAICS North American Industrial
Classification System
OMB Office of Management and Budget
PAI Patient Assessment Instrument
PPS Prospective Payment System
RAND RAND Corporation
RAC Recovery Audit Contractor
RFA Regulatory Flexibility Act, Pub. L. 96–
354
RIA Regulation Impact Analysis
RIC Rehabilitation Impairment Category
RPL Rehabilitation, Psychiatric, and LongTerm Care Hospital Market Basket
SCHIP State Children’s Health Insurance
Program
SIC Standard Industrial Code
TEFRA Tax Equity and Fiscal
Responsibility Act of 1982, Pub. L. 97–248
Acronyms
Because of the many terms to which
we refer by acronym in this final rule,
we are listing the acronyms used and
their corresponding terms in
alphabetical order below.
Section 4421 of the Balanced Budget
Act of 1997 (BBA, Pub. L. 105–33), as
amended by section 125 of the
Medicare, Medicaid, and SCHIP [State
Children’s Health Insurance Program]
Balanced Budget Refinement Act of
1999 (BBRA, Pub. L. 106–113), and by
section 305 of the Medicare, Medicaid,
and SCHIP Benefits Improvement and
Protection Act of 2000 (BIPA, Pub. L.
106–554), provides for the
implementation of a per discharge
prospective payment system (PPS),
through section 1886(j) of the Social
Security Act (the Act), for inpatient
rehabilitation hospitals and inpatient
rehabilitation units of a hospital
(hereinafter referred to as IRFs).
Payments under the IRF PPS
encompass inpatient operating and
capital costs of furnishing covered
rehabilitation services (that is, routine,
ancillary, and capital costs) but not
costs of approved educational activities,
bad debts, and other services or items
outside the scope of the IRF PPS.
Although a complete discussion of the
IRF PPS provisions appears in the
August 7, 2001 final rule (66 FR 41316)
as revised in the FY 2006 IRF PPS final
rule (70 FR 47880, August 15, 2005), we
are providing below a general
ASCA Administrative Simplification
Compliance Act of 2002, Pub. L. 107–105
BBA Balanced Budget Act of 1997, Pub. L.
105–33
BBRA Medicare, Medicaid, and SCHIP
[State Children’s Health Insurance
Program] Balanced Budget Refinement Act
of 1999, Pub. L. 106–113
BIPA Medicare, Medicaid, and SCHIP [State
Children’s Health Insurance Program]
Benefits Improvement and Protection Act
of 2000, Pub. L. 106–554
CBSA Core-Based Statistical Area
CCR Cost-to-Charge Ratio
CFR Code of Federal Regulations
CMG Case-Mix Group
DRA Deficit Reduction Act of 2005, Pub. L.
109–171
DSH Disproportionate Share Hospital
ECI Employment Cost Indexes
FI Fiscal Intermediary
FR Federal Register
FY Federal Fiscal Year
HHH Hubert H. Humphrey Building
HIPAA Health Insurance Portability and
Accountability Act, Pub. L. 104–191
IFMC Iowa Foundation for Medical Care
IOM Internet-Only Manual
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I. Background
A. Historical Overview of the Inpatient
Rehabilitation Facility Prospective
Payment System (IRF PPS) for Fiscal
Years (FYs) 2002 Through 2007
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description of the IRF PPS for fiscal
years (FYs) 2002 through 2005.
Under the IRF PPS from FY 2002
through FY 2005, as described in the
August 7, 2001 final rule, the Federal
prospective payment rates were
computed across 100 distinct case-mix
groups (CMGs). We constructed 95
CMGs using rehabilitation impairment
categories (RICs), functional status (both
motor and cognitive), and age (in some
cases, cognitive status and age may not
be a factor in defining a CMG). In
addition, we constructed five special
CMGs to account for very short stays
and for patients who expire in the IRF.
For each of the CMGs, we developed
relative weighting factors to account for
a patient’s clinical characteristics and
expected resource needs. Thus, the
weighting factors accounted for the
relative difference in resource use across
all CMGs. Within each CMG, we created
tiers based on the estimated effects that
certain comorbidities would have on
resource use.
We established the Federal PPS rates
using a standardized payment
conversion factor (formerly referred to
as the budget neutral conversion factor).
For a detailed discussion of the budget
neutral conversion factor, please refer to
our August 1, 2003 final rule (68 FR
45674, 45684 through 45685). In the FY
2006 IRF PPS final rule, we discussed
in detail the methodology for
determining the standard payment
conversion factor.
We applied the relative weighting
factors to the standard payment
conversion factor to compute the
unadjusted Federal prospective
payment rates. Under the IRF PPS from
FYs 2002 through 2005, we then applied
adjustments for geographic variations in
wages (wage index), the percentage of
low-income patients, and location in a
rural area (if applicable) to the IRF’s
unadjusted Federal prospective
payment rates. In addition, we made
adjustments to account for short-stay
transfer cases, interrupted stays, and
high cost outliers.
For cost reporting periods that began
on or after January 1, 2002 and before
October 1, 2002, we determined the
final prospective payment amounts
using the transition methodology
prescribed in section 1886(j)(1) of the
Act. Under this provision, IRFs
transitioning into the PPS were paid a
blend of the Federal IRF PPS rate and
the payment that the IRF would have
received had the IRF PPS not been
implemented. This provision also
allowed IRFs to elect to bypass this
blended payment and immediately be
paid 100 percent of the Federal IRF PPS
rate. The transition methodology
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expired as of cost reporting periods
beginning on or after October 1, 2002
(FY 2003), and payments for all IRFs
now consist of 100 percent of the
Federal IRF PPS rate.
We established a CMS Web site as a
primary information resource for the
IRF PPS. The Web site URL is https://
www.cms.hhs.gov/
InpatientRehabFacPPS/ and may be
accessed to download or view
publications, software, data
specifications, educational materials,
and other information pertinent to the
IRF PPS.
Section 1886(j) of the Act confers
broad statutory authority to propose
refinements to the IRF PPS. We
finalized the refinements described in
this section in the FY 2006 IRF PPS
final rule. The provisions of the FY 2006
IRF PPS final rule became effective for
discharges beginning on or after October
1, 2005. We published correcting
amendments to the FY 2006 IRF PPS
final rule in the Federal Register on
September 30, 2005 (70 FR 57166). Any
reference to the FY 2006 IRF PPS final
rule in this final rule also includes the
provisions effective in the correcting
amendments.
In the FY 2006 final rule (70 FR 47880
and 70 FR 57166), we finalized a
number of refinements to the IRF PPS
case-mix classification system (the
CMGs and the corresponding relative
weights) and the case-level and facilitylevel adjustments. These refinements
were based on analyses by the RAND
Corporation (RAND), a non-partisan
economic and social policy research
group, using calendar year 2002 and FY
2003 data. These were the first
significant refinements to the IRF PPS
since its implementation. In conducting
the analysis, RAND used claims and
clinical data for services furnished after
the IRF PPS implementation. These
newer data sets were more complete,
and reflected improved coding of
comorbidities and patient severity by
IRFs. The researchers were able to use
new data sources for imputing missing
values and more advanced statistical
approaches to complete their analyses.
The RAND reports supporting the
refinements made to the IRF PPS are
available on the CMS Web site at:
https://www.cms.hhs.gov/
InpatientRehabFacPPS/
09_Research.asp.
The final key policy changes, effective
for discharges occurring on or after
October 1, 2005, are discussed in detail
in the FY 2006 IRF PPS final rule (70
FR 47880 and 70 FR 57166). The
following is a brief summary of the key
policy changes:
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• Adopted the Office of Management
and Budget’s (OMB’s) Core-Based
Statistical Area (CBSA) market area
definitions in a budget neutral manner.
• Implemented a budget-neutral 3year hold harmless policy for IRFs that
had been classified as rural in FY 2005,
but became urban in FY 2006.
• Implemented a payment adjustment
to account for changes in coding that
did not reflect real changes in case mix.
We reduced the standard payment
amount by 1.9 percent to account for
such changes in coding following
implementation of the IRF PPS.
• Modified the CMGs, tier
comorbidities, and relative weights in a
budget-neutral manner. The five special
CMGs remained the same as they had
been before FY 2006 and continued to
account for very short stays and for
patients who expire in the IRF.
• Implemented a teaching status
adjustment in a budget neutral manner
for IRFs, similar to the one adopted for
inpatient psychiatric facilities.
• Revised and rebased the market
basket and labor-related share to reflect
the operating and capital cost structures
for rehabilitation, psychiatric, and longterm care (RPL) hospitals to update IRF
payment rates.
• Updated the rural adjustment from
19.14 percent to 21.3 percent in a
budget neutral manner.
• Updated the low-income percentage
(LIP) adjustment from an exponent of
0.484 to an exponent of 0.6229 in a
budget neutral manner.
• Updated the outlier threshold
amount from $11,211 to $5,129.
As noted above, a detailed discussion
of the final key policy changes for FY
2006 appears in the FY 2006 IRF PPS
final rule (70 FR 47880 and 70 FR
57166).
In the FY 2007 final rule (71 FR
48354) we made the following revisions
and updates:
• Updated the relative weight and
average length of stay tables based on reanalysis of the data by CMS and our
contractor, the RAND Corporation.
• Reduced the standard payment
amount by 2.6 percent to account more
fully for coding changes that do not
reflect real changes in case mix.
• Updated the IRF PPS payment rates
by the FY 2007 estimates of the market
basket and the labor-related share.
• Updated the IRF PPS payment rates
by the FY 2007 wage indexes.
• Applied the second year of the hold
harmless policy in a budget neutral
manner.
• Updated the outlier threshold from
$5,129 to $5,534.
• Updated the urban and rural
national cost-to-charge ratio ceilings for
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the purposes of determining outlier
payments under the IRF PPS and
clarified the methodology described in
the regulations text.
• Revised the regulation text in
§ 412.23(b)(2)(i) and § 412.23(b)(2)(ii) to
reflect the statutory changes in section
5005 of the Deficit Reduction Act of
2005 (DRA, Pub. L. 109–171). The
regulation text change prolongs the
overall duration of the phased transition
to the full 75 percent threshold
established in § 412.23(b)(2)(i) and
§ 412.23(b)(2)(ii), by extending the
transition’s 60 percent phase for an
additional 12 months. In addition to the
above DRA requirements pertaining to
the applicable compliance percentage
requirements under § 412.23(b)(2), we
also permitted a comorbidity that meets
the criteria as specified in
§ 412.23(b)(2)(i) to continue to be used
before the 75 percent compliance
threshold must be met.
B. Requirements for Updating the IRF
PPS Rates
On August 7, 2001, we published a
final rule titled ‘‘Medicare Program;
Prospective Payment System for
Inpatient Rehabilitation Facilities’’ in
the Federal Register (66 FR 41316) that
established a PPS for IRFs as authorized
under section 1886(j) of the Act and
codified at subpart P of part 412 of the
Medicare regulations. In the August 7,
2001 final rule, we set forth the per
discharge Federal prospective payment
rates for FY 2002, which provided
payment for inpatient operating and
capital costs of furnishing covered
rehabilitation services (that is, routine,
ancillary, and capital costs) but not
costs of approved educational activities,
bad debts, and other services or items
that are outside the scope of the IRF
PPS. The provisions of the August 7,
2001 final rule were effective for cost
reporting periods beginning on or after
January 1, 2002. On July 1, 2002, we
published a correcting amendment to
the August 7, 2001 final rule in the
Federal Register (67 FR 44073). Any
references to the August 7, 2001 final
rule in this final rule include the
provisions effective in the correcting
amendment.
Section 1886(j)(5) of the Act and
§ 412.628 of the regulations require the
Secretary to publish in the Federal
Register, on or before the August 1 that
precedes the start of each new FY, the
classifications and weighting factors for
the IRF CMGs and a description of the
methodology and data used in
computing the prospective payment
rates for the upcoming FY. On August
1, 2002, we published a notice in the
Federal Register (67 FR at 49928) to
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update the IRF Federal prospective
payment rates from FY 2002 to FY 2003
using the methodology as described in
§ 412.624. As stated in the August 1,
2002 notice, we used the same
classifications and weighting factors for
the IRF CMGs that were set forth in the
August 7, 2001 final rule to update the
IRF Federal prospective payment rates
from FY 2002 to FY 2003. We continued
to update the prospective payment rates
in accordance with the methodology set
forth in the August 7, 2001 final rule for
each succeeding FY up to and including
FY 2005. For FY 2006, however, we
published a final rule that revised
several IRF PPS policies (70 FR 47880).
The provisions of the FY 2006 IRF PPS
final rule became effective for
discharges occurring on or after October
1, 2005. We published correcting
amendments to the FY 2006 IRF PPS
final rule in the Federal Register (70 FR
57166). Any reference to the FY 2006
IRF PPS final rule in this final rule
includes the provisions effective in the
correcting amendments.
In the final rule for FY 2007, we
updated the IRF Federal prospective
payment rates. In addition, we updated
the cost-to-charge ratio ceilings and the
outlier threshold. We implemented a 2.6
percent reduction to the FY 2007
standard payment amount to account
more fully for changes in coding
practices that do not reflect real changes
in case mix. We revised the tier
comorbidities and the relative weights
to ensure that IRF PPS payments reflect,
as closely as possible, the costs of caring
for patients in IRFs. The final FY 2007
Federal prospective payment rates were
effective for discharges occurring on or
after October 1, 2006 and on or before
September 30, 2007.
C. Operational Overview of the Current
IRF PPS
As described in the August 7, 2001
final rule, upon the admission and
discharge of a Medicare Part A fee-forservice patient, the IRF is required to
complete the appropriate sections of a
patient assessment instrument, the
Inpatient Rehabilitation Facility-Patient
Assessment Instrument (IRF–PAI). All
required data must be electronically
encoded into the IRF–PAI software
product. Generally, the software product
includes patient grouping programming
called the GROUPER software. The
GROUPER software uses specific Patient
Assessment Instrument (PAI) data
elements to classify (or group) patients
into distinct CMGs and account for the
existence of any relevant comorbidities.
The GROUPER software produces a
five-digit CMG number. The first digit is
an alpha-character that indicates the
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comorbidity tier. The last four digits
represent the distinct CMG number.
(Free downloads of the Inpatient
Rehabilitation Validation and Entry
(IRVEN) software product, including the
GROUPER software, are available on the
CMS Web site at https://
www.cms.hhs.gov/
InpatientRehabFacPPS/
06_Software.asp).
Once a patient is discharged, the IRF
completes the Medicare claim (UB–92
or its equivalent) using the five-digit
CMG number and sends it to the
appropriate Medicare fiscal
intermediary (FI). Claims submitted to
Medicare must comply with both the
Administrative Simplification
Compliance Act (ASCA, Pub. L. 107–
105), and the Health Insurance
Portability and Accountability Act of
1996 (HIPAA, Pub. L. 104–191). Section
3 of the ASCA amends section 1862(a)
of the Act by adding paragraph (22)
which requires the Medicare program,
subject to section 1862(h) of the Act, to
deny payment under Part A or Part B for
any expenses for items or services ‘‘for
which a claim is submitted other than
in an electronic form specified by the
Secretary.’’ Section 1862(h) of the Act,
in turn, provides that the Secretary shall
waive such denial in two types of cases
and may also waive such denial ‘‘in
such unusual cases as the Secretary
finds appropriate.’’ See also the final
rule on Electronic Submission of
Medicare Claims (70 FR 71008,
November 25, 2005). Section 3 of the
ASCA operates in the context of the
administrative simplification provisions
of HIPAA, which include, among others,
the requirements for transaction
standards and code sets codified as 45
CFR parts 160 and 162, subparts A and
I through R (generally known as the
Transactions Rule). The Transactions
Rule requires covered entities, including
covered providers, to conduct covered
electronic transactions according to the
applicable transaction standards. (See
the program claim memoranda issued
and published by CMS at: https://
www.cms.hhs.gov/
ElectronicBillingEDITrans/ and the
Internet-Only Manual (IOM) at Pub.
100–04 published by CMS at: https://
www.cms.hhs.gov/Manuals/IOM/
list.asp). Instructions for the limited
number of claims submitted to Medicare
on paper are published by CMS at:
https://www.cms.hhs.gov/manuals/
downloads/clm104c25.pdf.
The Medicare FI processes the claim
through its software system. This
software system includes pricing
programming called the PRICER
software. The PRICER software uses the
CMG number, along with other specific
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claim data elements and providerspecific data, to adjust the IRF’s
prospective payment for interrupted
stays, transfers, short stays, and deaths,
and then applies the applicable
adjustments to account for the IRF’s
wage index, percentage of low-income
patients, rural location, and outlier
payments. For discharges occurring on
or after October 1, 2005, the IRF PPS
payment also reflects the new teaching
status adjustment that became effective
as of FY 2006, as discussed in the FY
2006 IRF PPS final rule (70 FR 47880).
II. Provisions of the Proposed
Regulation
As discussed in the FY 2008 IRF PPS
proposed rule (72 FR 26230), we
proposed to make revisions to the
regulation text in order to implement
policy changes for IRFs for FY 2008 and
subsequent fiscal years. Specifically, we
proposed to make conforming changes
in 42 CFR part 412. We discuss these
proposed revisions and others in detail
below.
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A. Section 412.624 Methodology for
Calculating the Federal Prospective
Payment Rates
We proposed to revise the current
regulations text in paragraph (f)(2)(v) to
clarify that we determine whether a
high-cost outlier payment would be
applicable for transfer cases. We
emphasize that this is not a change to
our current methodology for
determining whether a high-cost outlier
payment applies to transfer cases.
B. Additional Proposed Changes
• Update the FY 2008 IRF PPS
payment rates by the market basket, as
discussed in section IV.A of the FY 2008
IRF PPS proposed rule (72 FR 26320).
• Update the FY 2008 IRF PPS
payment rates by the proposed wage
index and the labor related share in a
budget neutral manner, as discussed in
section IV.A and B of the FY 2008 IRF
PPS proposed rule (72 FR 26320).
• Update the pre-reclassified and prefloor wage indexes based on the CBSA
changes published in the most recent
OMB bulletins that apply to the hospital
wage data used to determine the current
IRF PPS wage index, as discussed in
section IV.B of the FY 2008 IRF PPS
proposed rule (72 FR 26320).
• Revise the wage index policy for
rural areas without hospital wage data
by imputing an average wage index from
all contiguous CBSAs to represent a
reasonable proxy for the rural area
within a State, as discussed in section
IV.B of the proposed rule (72 FR 26320).
• Implement the final year of the 3year hold harmless policy adopted in
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the FY 2006 IRF PPS final rule (70 FR
47880, 447923 through 47926) in a
budget neutral manner, as discussed in
section IV.B of the FY 2008 IRF PPS
proposed rule (72 FR 26320).
• Update the outlier threshold
amount for FY 2008 to $7,522, as
discussed in section V.A of the FY 2008
IRF PPS proposed rule (72 FR 26320).
• Update the cost-to-charge ratio
ceiling and the national average urban
and rural cost-to-charge ratios for
purposes of determining outlier
payments under the IRF PPS, as
discussed in section V.B of the FY 2008
IRF PPS proposed rule (72 FR 26320).
III. Analysis of and Responses to Public
Comments
We received approximately 40 timely
items of correspondence containing
multiple comments on the FY 2008
proposed rule (72 FR 26230) from the
public. We received comments from a
university, various trade associations,
inpatient rehabilitation facilities, health
care industry organizations, and health
care consulting firms. The following
discussion, arranged by subject area,
includes a summary of the public
comments that we received, and our
responses to the comments appear
under the appropriate subject heading.
IV. 75 Percent Rule Policy
In order to be excluded from the acute
care inpatient hospital PPS specified in
§ 412.1(a)(1) and instead be paid under
the IRF PPS, a hospital or rehabilitation
unit of an acute care hospital must meet
the requirements for classification as an
IRF stipulated in subpart B of part 412.
As discussed in previous Federal
Register publications 68 FR 26786 (May
16, 2003), 68 FR 53266 (September 9,
2003), 69 FR 25752 (May 7, 2004), 70 FR
36640 (June 24, 2005), and 71 FR 48354
(August 18, 2006)), § 412.23(b)(2)
specifies one criterion that Medicare
uses for classifying a hospital or unit of
a hospital as an IRF. The criterion is that
a minimum percentage of a facility’s
total inpatient population must require
intensive rehabilitative services for the
treatment of at least one of 13 medical
conditions listed in § 412.23(b)(2)(iii) in
order for the facility to be classified as
an IRF. The minimum percentage is
known as the ‘‘compliance threshold.’’
In addition, for cost reporting periods
beginning on or after July 1, 2004, and
before July 1, 2008, a patient’s
comorbidity, as defined at § 412.602, as
well as the patient’s principal diagnosis,
may be included when determining the
medical conditions of the inpatient
population that count toward the
required applicable percentage, if
certain requirements are met.
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Prior to the May 7, 2004 final rule (69
FR 25752), § 412.23(b)(2) stipulated that
the compliance threshold was 75
percent. Therefore, the compliance
threshold was commonly referred to as
the ‘‘75 percent rule.’’ In addition, prior
to the May 7, 2004 final rule, the
regulation only specified 10 medical
conditions. However, in the May 7, 2004
final rule, we revised § 412.23(b)(2) to
increase the number of medical
conditions to 13. We also temporarily
lowered the compliance threshold,
while at the same time specifying a
transition period at the end of which
IRFs would once again have to meet a
compliance threshold of 75 percent.
Also, as described below, the revised
regulation specified that during the
compliance threshold transition period,
a patient’s comorbidity may be used to
determine whether a provider met the
compliance threshold, provided certain
applicable requirements were met.
The regulations at § 412.602 define a
comorbidity as a specific patient
condition that is secondary to the
patient’s principal diagnosis. A patient’s
principal diagnosis is the primary
reason a patient is admitted to an IRF,
and this diagnosis is used to determine
whether the patient had a medical
condition that can be counted toward
meeting the compliance threshold. As
specified in the May 7, 2004 final rule,
in order for an inpatient with a certain
comorbidity to be included in the
inpatient population that counts toward
the applicable percentage, the following
criteria must be met:
• The patient is admitted for
inpatient rehabilitation for a condition
that is not one of the conditions listed
in § 412.23(b)(2)(iii).
• The patient also has a comorbidity
that falls within one of the conditions
listed in § 412.23(b)(2)(iii).
• The comorbidity has caused
significant decline in functional ability
in the individual such that, even in the
absence of the admitting condition, the
individual would require the intensive
rehabilitation treatment that is unique to
inpatient rehabilitation facilities paid
under the IRF PPS and that cannot be
appropriately performed in another
Medicare-covered care setting.
In accordance with the May 7, 2004
final rule, IRFs would have had to meet
a compliance threshold of 75 percent for
cost reporting periods starting on or
after July 1, 2007. However, section
5005 of the Deficit Reduction Act of
2005 (DRA, Pub. L. 109–171) modified
the applicable time periods when the
various compliance thresholds, as
originally specified in the May 7, 2004
final rule, must be met. The net effect
of the DRA was extension of the
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compliance threshold transition period.
Due to the DRA, the transition period
was extended to include cost reporting
periods starting on or after July 1, 2004,
and before July 1, 2008. Therefore, in
order to conform the regulations to the
DRA, we revised § 412.23(b)(2) by
stipulating that an IRF must meet the
full 75 percent compliance threshold as
of its first cost reporting period that
starts on or after July 1, 2008, rather
than on or after July 1, 2007. In
addition, we also permitted a
comorbidity that meets the criteria as
specified in paragraph (b)(2)(i) of
§ 412.23 to continue to be used, along
with principal diagnosis, to determine
the compliance threshold for cost
reporting periods beginning before July
1, 2008, rather than before July 1, 2007.
(For a complete description of all of the
changes, see the FY 2007 IRF PPS final
rule (71 FR 48354)).
Under existing policy, for cost
reporting periods beginning on or after
July 1, 2008, comorbidities will not be
eligible for inclusion in the calculations
used to determine whether the provider
meets the 75 percent compliance
threshold specified in § 412.23(b)(2)(ii).
However, in the May 7, 2004 final rule
(69 FR 25762), we encouraged research
evaluating the continued use of
comorbidities in determining
compliance with the 75 percent rule.
Therefore, in the May 8, 2007 proposed
rule (72 FR 26230), we solicited
comments supporting current policy or
other options, including use of some or
all of the existing comorbidities in
calculating the compliance percentage
for an additional fixed period of one or
more years or to integrate the inclusion
of some or all of the existing
comorbidities on a permanent basis. In
addition, we solicited comments that
include clinical data based on
scientifically sound research that
provide evidence to support these and
other options.
We received many comments on this
proposal, which are summarized below.
Comment: Commenters cited our
acknowledgement, made during a
conference on Medicare and Medicaid
payment issues held March 2007 in
Baltimore, Maryland, that
approximately 7 percent of inpatients
from July 2005 through June 2006 were
counted toward the compliance
threshold because they met the medical
conditions listed in § 412.23(b)(2)(iii)
only because of the patient’s
comorbidities. They argued that
eliminating use of comorbidities to
determine the compliance percentage
would be equivalent to adding an
additional 7 percent to the compliance
threshold.
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Response: One method that we use to
determine compliance with the
requirements specified at § 412.23(b)(2)
is analysis of the impairment group and
etiologic diagnosis codes, as well as the
comorbidity codes, recorded on the
IRF–PAI. It is true that IRF–PAI data
from July 1, 2005, to June 30, 2006,
indicates that approximately 7 percent
of IRF cases met the compliance
standards based on the IRF–PAI
comorbidity codes alone rather than on
the IRF–PAI impairment group or
etiologic diagnosis codes. However, this
does not mean that the cases were
evenly distributed across providers or
that 7 percent of IRFs met the
compliance threshold solely because of
the comorbid conditions of their
inpatients. The commenters offer no
evidence that IRFs needed to rely on
those 7 percent of cases in order to meet
the compliance threshold. Also, our
rules already provide that up to 25
percent of the cases do not have to be
admitted because of a qualifying
diagnosis. It does not follow that,
because 7 percent of the IRF cases met
the compliance standards only because
of the comorbidities recorded on the
IRF–PAIs, using just the principal
diagnoses to determine compliance
would result in a higher ‘‘effective’’
compliance threshold. For example,
although an IRF may have had a certain
percentage of cases that presumptively
met a medical condition listed in
§ 412.23(b)(2)(iii) only because of the
comorbid conditions recorded on the
IRF–PAI, the IRF may also have a
sufficient number of other cases with
impairment group or etiologic codes
that meet one of the medical conditions
identified in § 412.23(b)(2)(iii), and
these other cases by themselves could
allow the IRF to meet the compliance
threshold.
In addition, there is a second method
of verifying compliance, which is the FI
analyzing a random sample of medical
records. Consequently, although the IRF
may fail to meet the compliance
threshold by an analysis of its IRF–PAI
data, the IRF may meet the compliance
threshold when the medical records are
analyzed. The medical records identify
the principal diagnoses, as well as the
information supporting the principal
diagnoses, which is much more detailed
than the list of codes recorded on the
IRF–PAIs. Thus, the medical record of a
patient may indicate the presence of a
qualifying condition that meets the 75
percent rule when the IRF data does not.
The medical conditions that we
believe are most appropriate for
treatment in an IRF are listed in
§ 412.23(b)(2)(iii). However, these
medical conditions are not specific
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diagnoses, but broad medical categories.
In addition, we acknowledge that there
may be atypical patients with medical
conditions not listed in
§ 412.23(b)(2)(iii) who may occasionally
also require treatment in an IRF.
Therefore, § 412.23(b)(2) has always
allowed the IRF the flexibility to admit
a percentage of patients with medical
conditions not listed in this section of
the regulations without losing its
classification status as an IRF and the
higher reimbursement rate than would
be paid to hospitals under the IPPS.
It is important to note that even when
the compliance threshold increases to
75 percent, an IRF may admit up to 25
percent of patients who have medical
needs that meet the IRF medical
necessity criteria but do not have as a
principal diagnosis one of the 13
medical conditions used to classify a
provider as an IRF. Thus, an IRF may
admit up to 25 percent of patients not
meeting the 75 percent rule and still be
eligible to be paid under the IRF PPS.
In other words, when the compliance
threshold increases to 75 percent, as
many as 1 in every 4 patients may still
be admitted with a principal diagnosis
that is not one of the medical conditions
listed in § 412.23(b)(2)(iii), as long as the
patient requires an IRF level of care.
Therefore, if an IRF believes that the
clinical status of some patients involves
principal diagnoses or comorbidities
that are so unusually medically and
functionally complex as to demonstrate
medical necessity to be admitted the
IRF, then the IRF may admit these
atypical cases as part of the percentage
of cases that do not have to meet the 75
percent rule.
Comment: Many commenters urged
CMS to permanently continue to use a
patient’s comorbidities to determine
whether a provider met the 75 percent
rule. Some commenters stated that
terminating the use of comorbidities
would decrease the number of IRFs that
can achieve compliance as they are
adapting their admissions policies and
operating procedures. Several
commenters urged us to continue the
use of comorbidities in the compliance
calculations until we can refine the way
we identify patients that are most
appropriate for an IRF-level of care, or
until such time as we have sufficient
data to reassess all the provisions of the
75 percent rule. These commenters state
that the simple diagnosis-based criteria
used in the 75 percent rule is insensitive
to the special needs of individual
patients, and encouraged CMS to move
toward more patient-specific criteria.
These commenters also urged CMS to
modernize the classifying conditions.
Several commenters argued that
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comorbidities should be retained for use
in compliance calculations at a
minimum until further research
examining the use of comorbidities is
conducted, such as assessing the
potential negative patient outcomes that
may result from the discontinued use.
Commenters believed that expiration of
the comorbidity provision would
change provider behavior, and
specifically change admission patterns,
in ways that cannot be evaluated using
historical data.
Response: We believe a patient’s
principal diagnosis most accurately
identifies the medical condition that
required intensive inpatient
rehabilitation. A patient’s principal
diagnosis is determined from the
combination of items and services the
IRF furnished to the inpatient as
documented in the patient’s medical
record, including the data derived from
medical tests, lab tests, procedures, and
therapy, as well as the notes of the IRF’s
clinicians. Medical conditions that are
secondary to the patient’s principal
reason for the inpatient rehabilitation
stay are comorbid medical conditions.
It is not unusual for patients admitted
to an IRF to have more than one ailment
for which the patient exhibited a need
for medical treatment. However, it is the
patient’s principal diagnosis that most
accurately denotes whether a patient
had a medical condition listed in
§ 412.23(b)(2)(iii) that required intensive
inpatient rehabilitation because of how,
as described previously, the principal
diagnosis is determined. In other words,
the data used to determine the principal
diagnosis makes it the most accurate
diagnosis that identifies the medical
condition which required intensive
inpatient rehabilitation. Additionally, as
stated above, § 412.23(b)(2) has always
allowed the IRF the flexibility to admit
a percentage of patients with medical
conditions not listed in this regulation
section, as long as the patient requires
an IRF level of care, without
jeopardizing the IRF’s classification and
eligibility for payment under the IRF
PPS.
We believe it is essential that we
maintain appropriate criteria to ensure
that only facilities providing medically
necessary intensive inpatient
rehabilitation are classified as IRFs.
Thus, it is imperative to identify
medical conditions that would typically
require intensive inpatient
rehabilitation in IRFs, because
rehabilitation in general can be
delivered in a variety of settings, such
as acute care hospitals, SNFs, and
outpatient settings. The most
appropriate method we can use to
identify the medical condition of an
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inpatient is to determine the
impairment that led to admission of the
patient to the IRF. It is the principal
diagnosis that best identifies the
impairment which resulted in the
patient’s admission providing the
principal diagnosis was made in
accordance with acceptable medical
practice and appropriate clinical coding
standards.
The inclusion of comorbidities in
determining provider compliance with
IRF classification requirements was
established as a temporary policy in our
May 7, 2004 final rule (69 FR 25752),
and the revised regulation continues to
be commonly referred to as the 75
percent rule. After careful review of a
large volume of comments, we stated in
the May 7, 2004 final rule (69 FR 25752,
25762) that we recognized IRFs could
need additional time in order to adjust
to the revised regulations. Therefore, in
order to give IRFs flexibility to adapt we
implemented a phase-in to meeting the
75 percent compliance threshold.
Similarly, the intent of the comorbidity
provision was to provide flexibility that
would help providers adapt to the
phase-in of enforcement of the
compliance threshold.
Originally the transition time period,
which provided for a phase-in of the
compliance percentage and included the
use of comorbid conditions in
compliance calculations, was 3 years.
However, in accordance with the DRA,
the transition time period was extended
one additional year. We also decided to
extend the use of comorbidities for one
additional year as well to maintain
consistency with our current approach
with respect to the counting of
comorbidities before the 75 percent
threshold applies. Therefore, providers
will have had 4 years to adjust their
case-mixes and adapt their operations in
order to comply with the 75 percent
rule.
As stated in the May 7, 2004 final rule
(69 FR 25752, 25762) we have
encouraged stakeholders to conduct
research studies that could assist us in
evaluating IRF compliance criteria.
(Elsewhere in this preamble we describe
our research efforts.) While we are
aware that some studies have been
initiated, they have not yet yielded
results. The commenters urging the
continuation of comorbidities did not
support their arguments with sound
clinical evidence on the value of
including comorbidities when
calculating the compliance percentage.
In the absence of such evidence, we do
not believe it would be appropriate to
convert what was always intended to be
a temporary accommodation during the
phase-in period to a permanent policy.
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Similarly, we think it would be
inappropriate to adopt an extension of
indefinite duration because we have no
way to estimate when and if sufficient
data will become available to reevaluate
the IRF classification criteria. However,
we will examine our policies as the
results of well-designed, rigorous,
scientific studies become available and
continue to encourage the industry and
academics to conduct rehabilitation
research. We will continue to evaluate
the 75 percent rule and as appropriate
will consider improvements to the
criteria identifying appropriate IRF
admissions that are supported by highquality research and/or our data
analysis.
Miscellaneous 75 Percent Rule
Comments
Although it is difficult to separate
comments on our comorbidity policy
and comments on the other provisions
of the 75 percent rule, we believe that
the following comments were generally
about the other aspects of the 75 percent
rule.
Comment: Commenters stated that the
75 percent rule jeopardized the care of
patients who required treatment in an
IRF by restricting access to treatment.
They believe that patients with medical
conditions not listed in
§ 412.23(b)(2)(iii) should be admitted to
IRFs because IRFs provide better care
for these types of patients. One
commenter further stated that the 75
percent rule, by restricting access to
care, is denying patients with
disabilities access to the comprehensive,
coordinated rehabilitation services in an
IRF. Another commenter referenced
research that the commenter believes
shows the length of stay (LOS) of
patients with single joint replacements
was less in an IRF as opposed to a SNF.
Response: In this rule, we did not
propose changes to the 13 qualifying
conditions considered to be appropriate
for IRF care. However, in the May 7,
2004 final rule (69 FR 25752) we
responded to similar comments. We
continue to believe that an IRF is
appropriately characterized as an
inpatient hospital setting designed to
provide the specialized, intensive, and
interdisciplinary rehabilitation level of
care that certain types of patients need.
Although we remain committed to
maintaining access to rehabilitation care
for all Medicare beneficiaries, not all
patients require the intensive degree of
rehabilitation services that an IRF
furnishes. We believe that those specific
patients with certain medical conditions
requiring intensive inpatient physical
therapy, occupational therapy, and, if
necessary, speech and language therapy
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are the patients most appropriate for
treatment in an IRF.
We do not believe that the 75 percent
rule jeopardizes access to an appropriate
level of rehabilitation care, nor do we
have data to support that perspective. In
addition, although an IRF is capable of
extensive medical management of
patients by virtue of its inpatient
hospital status, as we stated in the May
7, 2004 final rule (69 FR 25752, 25764)
‘‘patients who require medical
management but not intensive,
interdisciplinary rehabilitation can be
cared for in another setting.’’ The fact
that care in an IRF may be preferred by
some patients and/or their physicians
does not make it the most appropriate
clinical treatment setting or the most
optimal use of intensive rehabilitation
resources uniquely provided by IRFs. As
part of our ongoing efforts to evaluate
the impact of the requirements at
§ 412.23(b)(2) since we revised the
regulations, we have analyzed the
available data extensively. Our most
recent analysis of this data is available
at the following Web site: https://
www.cms.hhs.gov/
InpatientRehabFacPPS/Downloads/
IRF_PPS_75_percent_Rule_060807.pdf.
As the IRF industry has noted, the
reduced claims volume identified since
2004, which shows the decrease in the
inpatient population of IRFs, is almost
entirely attributable to cases in one of
these five IRF PPS rehabilitation
impairment categories (RICs): Lower
extremity joint replacement, cardiac,
osteoarthritis, pain syndrome, and the
miscellaneous category. These five RICs
are precisely the types of medical
conditions that the 75 percent rule was
designed to screen out, because they are
not generally thought to require the
intensive rehabilitation services
provided by IRFs. The clinical experts
that CMS consulted prior to publishing
the May 7, 2004 final rule (69 FR 25752)
indicated that the vast majority of
patients with these medical conditions
could typically be cared for
appropriately in other less intensive
settings. In addition, while we have and
are continuing to encourage research
studies, these studies have not yet been
completed. In the absence of findings
generated from well-designed scientific
studies, we have no evidence showing
that the medical conditions in these 5
RICs require treatment in an IRF as
opposed to receiving treatment at
another treatment setting. Therefore, we
do not agree that without a more
complete analysis of the patient
characteristics and care needs of
patients served in the different settings
that a shortened length of stay for single
joint replacement cases is, in itself, a
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compelling reason for these cases to be
treated in an IRF.
In addition, as more fully described in
the analysis, which is available on the
previously identified Web site, our
examination of the data indicates that
patients requiring post-acute
rehabilitation care for four common
conditions (total knee replacement, total
hip replacement, hip fracture, and
stroke) have access to and are receiving
services in different settings. Therefore,
we believe that the data indicate
beneficiaries have access to care and are
receiving the appropriate level of care at
an appropriate cost to the Medicare
program. Further, we believe the 75
percent rule promotes equal access to
those who require an IRF level of care.
The IRF classification polices are used
to identify those patients who have a
need for a more intensive level of
rehabilitation than is generally required
by most patients. Recent industry
reports emphasize only a very selective
subset of the CMS data, using as their
starting point the highest level of
utilization and then focusing on the
relative decreases that follow. It is
important to note, however, that the
highest historical level of utilization is
not necessarily the most appropriate or
even the most typical level of
utilization, and that patients who need
rehabilitation services have continued
access to these services in other settings,
as shown by the data in the analysis on
the previously referenced Web site. For
example:
• Although the proportion of total
knee replacement and total hip
replacement patients receiving care in
IRFs has dropped significantly since
2004, our data show that the
proportions of these patients receiving
care in the other post-acute care settings
are increasing.
• The SNFs, particularly, are now
better able to manage patients with
musculoskeletal conditions with the
introduction of 9 new resource
utilization group payment categories
beginning in FY 2006. These new
payment categories compensate SNFs
more fully for patients who have both
significant rehabilitation and medical
needs—precisely the type of patient
who may need some level of medical
monitoring but does not require the
intense level of inpatient rehabilitation
services provided in an IRF setting.
The analyses described above are part
of our ongoing evaluation of our IRF
classification policies. However,
although we have encouraged research
to be undertaken that would contribute
to improving the criteria for identifying
appropriate IRF admissions, we have
not received results of well-designed
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scientific studies that would support
such changes at this time.
Comment: Several commenters stated
that we should suspend increasing the
compliance percentage until we have
implemented a single post-acute
assessment instrument. One commenter
stated that we should devise a priceneutral payment system to pay for care
that could be furnished in either a SNF
or an IRF. Although the commenter was
not clear, we believe that by ‘‘priceneutral payment system’’ the
commenter means payments that are
basically the same regardless of the
setting where the services were
furnished. We refer to such a payment
system as being site-neutral. Another
commenter stated that instead of the
broad 13 medical conditions we should
use facility characteristics to define a
provider as an IRF. Many commenters
recommended that the medical
conditions listed at § 412.23(b)(2)(iii)
should be updated. Other commenters
suggested that we should use more
specific patient-centered criteria than
the broad 13 medical conditions in
order to identify which patients should
receive care in an IRF. Similarly, a
commenter stated that a patient’s overall
function should be used to determine
compliance. Another commenter
encouraged us to better identify patients
who ‘‘typically’’ are in need of inpatient
rehabilitation. This commenter urged
CMS to consider that the comorbidity in
combination with the primary diagnosis
establishes the need for inpatient
rehabilitation. Some commenters stated
that the 75 percent rule is insensitive
and inadequate as a tool to determine a
patient’s need for IRF care.
Response: While these
recommendations address issues that
are beyond the scope of this rule
because they concern issues about
which we did not make any proposals,
we will address them briefly because
they generally pertain to the 75 percent
rule. We agree that future data analysis
and the results of well-designed
scientific studies may inform policy
decisions regarding the IRF
classification criteria. With input from
all our stakeholders, we will continue
our efforts to make these refinements as
quickly as possible. In attempting to
promote research that better identifies
the types of patients whose treatment
needs require an IRF setting, CMS has
collaborated with several crucial
stakeholders to create a framework for
future research. We describe some of
these efforts below.
• At CMS’s request, the National
Center for Medical Rehabilitation
Research at the National Institute of
Child Health and Human Development
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(NCMRR/NICHD) at the National
Institutes of Health (NIH) convened a
panel in February 2005 to develop a
research agenda on appropriate settings
for rehabilitation.
• Recently, NCMRR/NICHD also
issued a notice on the NIH Web site
recognizing the need to enhance the
evidence base for clinical practice, with
a commitment to work with providers
and research groups to encourage the
design of clinical studies that meet NIH
standards. We also intend to work with
researchers conducting NIH-approved
studies so that they can meet their study
objectives within the overall framework
of the Medicare program benefit.
• Over the past year, we have been
actively participating in various NIH
panel discussions to foster research in
the area of medical rehabilitation, with
the goal to better identify typical
characteristics of patients in need of the
intensive rehabilitative services that
only IRFs can provide. In the course of
attending these meetings, we have
established connections with many of
the researchers conducting the research
in this area and have been helping them
to identify the appropriate resources
within CMS.
• We strongly support industry
research efforts by serving on project
advisory boards and by participating in
industry-sponsored meetings and
research conferences.
We also want to express our support
for our integrated post-acute payment
system demonstration project. As part of
that demonstration, we are developing
an assessment instrument that can be
used to assess patients in different
treatment settings. We expect that the
demonstration will generate much
needed data on differences in patient
characteristics and treatment outcomes
across settings that will be extremely
useful in our ongoing evaluation of the
IRF PPS. Further, in an effort to try to
move toward a site-neutral payment
system as suggested by a commenter,
the proposed FY 2008 President’s
Budget includes a proposal to reduce
the difference in payment between IRFs
and SNFs for total knee and hip
replacements. We will continue to look
for opportunities to propose policies
which move the program in the
direction of our ultimate goal of PAC
payment reform.
In summary, we will continue to
examine our IRF classification polices
and the criteria for identifying
appropriate IRF admissions using sound
data analysis or well-designed scientific
studies.
Comment: A commenter believes that
our CMG data should be used to identify
the concentrations of typical conditions
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treated in an IRF and use that data
instead of or in combination with the 13
medical conditions listed in the
regulations as the criteria to classify a
provider as an IRF.
Response: We addressed a similar
comment in the May 7, 2004 final rule
(69 FR 25752, 25758–25759) regarding
why it would be inappropriate to use
the RICs to classify a provider as an IRF.
The CMGs are derived from the RICs
and, thus, using CMGs to classify a
provider as an IRF would also be
inappropriate. The payment system,
which is based on the RICs, was devised
to pay for all the patients an IRF admits,
including the patients not counted as
part of the compliance percentage the
IRF must meet. Thus, a PPS created to
pay for IRF cases is different than a
classification system that specifies the
percentage of patients that must have
certain medical conditions. We refer the
commenter to the May 7, 2004 final rule
for a more detailed explanation.
Comment: A commenter suggested
that we modify our medical review
policies to assume that any claim with
a qualifying diagnosis or a comorbidity
code used in the 75 percent rule
calculations can be deemed to meet
Medicare’s medical necessity
provisions. Another commenter stated
that FIs were incorrectly performing
medical necessity reviews. The same
commenter expressed concerns
regarding how the Recovery Audit
Contractors (RACs) are performing their
reviews. Another commenter stated that
the 75 percent rule is being used as a
crude measure of medical necessity. A
few commenters suggested all local
coverage determination polices be
suspended until we fully examine the
issues associated with medical necessity
for IRF level of care. Another
commenter requested that we use the
criteria specified in the Health Care
Financing Administration (HCFA)
ruling 85–2 as the sole determinant for
the medical necessity of an IRF
admission, and implement a
moratorium on new rehabilitation
programs participating in Medicare
until we revise the 75 percent rule. One
commenter requested that CMS expand
our policy to include additional
complicating conditions as
comorbidities, which count toward
compliance with the 75 percent rule.
Response: These comments relate to
regulatory policies or operational issues
that are outside the scope of the rule.
Nevertheless, we address them briefly
here. First, the purpose of the
comorbidity policy has been to
recognize patients with one of the 13
qualifying conditions, even when that
qualifying condition is not the primary
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reason for the IRF admission. The effect
of adding new codes would be to
inappropriately expand the set of
qualifying conditions without any
clinical evidence or review. Second, our
medical review protocols and IRF
compliance criteria were designed to
perform two distinct oversight
functions. For example, medical review
protocols are used to ensure that claims
are paid appropriately, but our IRF
classification criteria are used to ensure
that only facilities that provide
intensive inpatient rehabilitation
services are paid under the IRF PPS.
While we continue to work diligently to
improve consistency between the
review protocols where appropriate, we
realize that there will always be some
differences that reflect differences in
statutory, regulatory and operational
priorities and the two distinct oversight
functions. Third, regarding the reviews
performed by our contractors, it should
be noted that we believe these reviews
are necessary to ensure the integrity of
the Medicare trust fund. As part of this
oversight function, we continuously
review the performance of our
contractors to ensure that they are
functioning in accordance with our
policies and guidance. Finally, we
believe that implementing a moratorium
on new rehabilitation programs
participating in Medicare could result in
restricting access to care and therefore is
not appropriate at this time.
Comment: A commenter stated that
the impact of the 75 percent rule
combined with reviews being performed
by FIs and RACs have decreased IRF
admissions well beyond the estimates
we envisioned in the May 7, 2004 final
rule (69 FR 25752). In addition, the
commenter appeared to indicate that the
significant drop in IRF admissions as a
result of the 75 percent rule and the
contractor reviews calls into question
the validity of the revisions to
§ 412.23(b)(2) that we made in the May
7, 2004 final rule.
Response: In evaluating the potential
effect of an impending rule change, the
regulatory impact analysis represents
our best effort to project the economic
impact of the change, based on the data
available at the time of publication. It is
important to note that such projections
are estimates, and that they consider
only the potential effect of the change
itself. Moreover, we do not use such
projections as program targets or
benchmarks, but rather, conduct
reviews and analyses of program data
after the change is implemented in order
to evaluate its actual impact.
In order to put a proposed change in
perspective, a regulatory impact
analysis generally is projected on the
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assumption that all other variables
remain constant. Thus, the projections
in a regulatory impact analysis take
historical data on provider behavior,
utilization of services, and expenditure
levels and simply trend them forward,
in order to show more clearly the effect
of the single policy change under
review.
When we imposed the temporary
moratorium on enforcing the 75 percent
rule in June 2002, we assumed that
provider case-mix and utilization would
remain stable while we took steps to
standardize the provider classification
procedures. However, our data indicate
that during the period when the
moratorium was in effect, there was
actually a pronounced increase in the
volume of IRF cases involving certain
specific categories of conditions. In
general, the medical conditions in these
particular rehabilitation impairment
categories—lower extremity joint
replacement, cardiac, osteoarthritis,
pain syndrome, and miscellaneous—are
unlikely to require intensive
rehabilitation in IRFs. According to the
clinical experts that CMS consulted in
revising the 75 percent rule criteria
prior to publishing the May 7, 2004 final
rule, the vast majority of patients with
these medical conditions can typically
be appropriately cared for in other less
intensive settings. In addition, we have
not received reports from well-designed
scientific studies showing that these
medical conditions are typically
appropriate for treatment in an IRF.
Thus, we continue to believe that these
medical conditions are appropriately
treatable in other, less intensive settings.
When we resumed enforcement of the
75 percent rule, the volume of these less
intensive IRF cases decreased,
accompanied by a concomitant increase
in the volume of cases involving
conditions that typically do require
intensive rehabilitation: brain injury
and certain nervous system conditions.
This phenomenon would appear to
indicate that:
• The 75 percent rule accurately
identifies as IRFs those facilities serving
patients who genuinely need intensive
rehabilitation; and
• Significant behavior changes
occurred among IRFs in response to
both the initial imposition and the
subsequent lifting of the moratorium,
underscoring the inappropriateness of
utilizing the 2004 final rule’s regulatory
impact analysis projections (which were
not designed to take possible behavior
changes into account) as a benchmark in
analyzing subsequent utilization
patterns.
We do not believe that the decline in
IRF utilization levels for certain
VerDate Aug<31>2005
17:54 Aug 06, 2007
Jkt 211001
conditions in the period since we lifted
the moratorium is an indication that
beneficiaries are being denied access to
needed care in this setting. As explained
above, we believe that the moratorium
itself may well have triggered aberrant
IRF utilization patterns, which were
skewed toward certain conditions that
generally do not require the
exceptionally intensive type of
rehabilitation that characterizes the IRF
setting. As a consequence, what would
appear to be a relative decline in IRF
utilization since that time may, in fact,
represent a return to more normal
utilization patterns, which better reflect
the actual prevalence of patient need for
the kind of intensive rehabilitation that
the IRF setting is intended to provide.
We will continue to review Medicare
claim and patient assessment data
closely as part of our ongoing effort to
monitor Medicare beneficiary access to
rehabilitation services in IRFs.
Comment: A commenter stated that
the 75 percent rule is negatively
affecting the financial operations of IRFs
because the 75 percent rule and other
IRF policies have resulted in more
severely ill patients being treated in
IRFs, which is not being reflected in IRF
PPS payment rates.
Response: We agree that IRF
utilization patterns have changed since
we began enforcing the 75 percent rule
in 2004. The CMS data show a shift in
the pattern of admissions away from
lower acuity cases such as unilateral
knee replacements to more severe
conditions. However, we do not agree
that the IRF PPS rates do not cover the
cost of treating these more severely ill
patients, in fact, comparisons of IRF
payments and costs, as calculated by
both CMS and MedPAC, showed double
digit profit margins from the start of the
IRF PPS in 2002 through 2005. The IRF
profit margins are expected to decline in
FY 2008, but should still remain
positive. Based on this profitability
analysis, we believe that the existing
IRF PPS rate structure adequately
accounts for the full range of IRF
patients. Further, these analyses support
our understanding that the IRF case-mix
system was specifically designed to
reflect the needs and costs of a unique
segment of the post acute population
requiring both intensive rehabilitation
and medical management.
Final Decision: After carefully
considering the comments, we are
maintaining the comorbidity policy
specified in § 412.23(b)(2). Therefore,
for cost reporting periods beginning on
or after July 1, 2007, and before July 1,
2008, the compliance threshold remains
65 percent and we will continue to
include comorbidities when calculating
PO 00000
Frm 00010
Fmt 4701
Sfmt 4700
the compliance percentage. However,
for cost reporting periods beginning on
or after July 1, 2008, the compliance
threshold will increase to 75 percent,
but the comorbidities will not be used
to determine whether a provider met the
75 percent of the compliance threshold.
V. Classification System for the
Inpatient Rehabilitation Facility
Prospective Payment System
For the FY 2008 IRF PPS, we will use
the same case-mix classification system
that we used for FY 2007, as set forth
in the FY 2007 IRF PPS final rule (71
FR 48354). Table 1 below, ‘‘Relative
Weights and Average Lengths of Stay for
Case-Mix Groups’’, presents the CMGs,
the comorbidity tiers, the corresponding
relative weights, and the average length
of stay value for each CMG and tier. The
average length of stay for each CMG is
used to determine when an IRF
discharge meets the definition of a
short-stay transfer, which results in a
per diem case level adjustment. Because
these data elements are not changing,
Table 1 shown below is identical to
Table 4 that was published in the FY
2007 IRF PPS final rule (71 FR 48354,
48364 through 48370). The methodology
we used to construct the data elements
in Table 1 is described in detail in the
FY 2007 IRF PPS final rule (71 FR
48354).
We received a few comments on the
proposed classification system for FY
2008, which are summarized below.
Comment: A few commenters
expressed concerns about the proposed
CMG relative weight and average length
of stay values for FY 2008, noting that
they are based on FY 2003 data and that
these data do not reflect the changes in
IRF cost structures that may be
occurring in response to the renewed
enforcement of the 75 percent rule.
These commenters requested that CMS
use the latest available data to update
the CMG relative weights and average
length of stay values for FY 2008 and
future years. One commenter suggested
that CMS update the CMG definitions
regularly to reflect changes in clinical
practice that affect resource use.
Response: We agree with the
commenters that it is important to
update the CMG relative weights,
average length of stay values, and CMG
definitions regularly to reflect changes
in IRF admission patterns and cost
structures, using the most recent
available data. We are analyzing the
data carefully to prepare to update the
IRF classification system, as
appropriate, in the future. However, we
also believe it is important to balance
the need to update these elements with
the benefits derived from maintaining
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stability within the IRF classification
system and payment rates. In the FY
2006 IRF PPS final rule (70 FR 47880,
47886 through 47904), we implemented
major changes to the IRF classification
system, including revising the CMG
definitions and recalibrating the CMG
relative weights and average length of
stay values. Given that these major
changes to the classification system took
effect less than 2 years ago, we believe
that, in the interest of fostering stability
in the IRF PPS, we should allow more
time to pass before we implement more
changes to the system. By waiting at
least one additional year before making
further changes to the system, we will
ensure that we have sufficient time to
analyze the effects of the FY 2006
revisions and the impact they are having
on providers, which will improve the
accuracy of future IRF PPS refinements.
We also believe that further analysis of
the FY 2006 data is needed to determine
how the changes to the classification
system, as well as the changes to the
facility-level adjustments and the other
changes we adopted in the FY 2006
final rule, are affecting providers. Now
that the FY 2006 claims data are
available, we are analyzing them and
will propose updates to the system as
appropriate in the future.
Although we believe that it is best to
delay updating the CMG relative
weights and average length of stay
values, we have conducted an analysis
of these components of the IRF
classification system using FY 2006
data. This analysis shows that updating
these elements of the classification
system would not materially change
payments for the vast majority of IRF
discharges. From this analysis, we
found that payments for about 90
percent of the cases in our data would
change by less than 4 percent. CMGs for
which payments would change by more
than 4 percent contain a small number
of cases. Based on our analysis, we
believe that it is more appropriate to
update the CMG relative weights and
average length of stay values after we
conduct careful analysis of the FY 2006
data and analyze IRFs’ responses to the
changes that we implemented to the
system in FY 2006. We believe that the
results that we will obtain from this
analysis of the effects of the FY 2006
revisions on providers will improve the
accuracy of future revisions to the IRF
PPS.
Comment: One commenter suggested
that CMS should review the FY 2006
revisions to the classification system
with more recent data to determine
whether the revisions caused a 2.2
percent decrease in aggregate IRF
payments and whether further revisions
to the system are needed to account for
this.
Response: Since this comment is on
revisions that we implemented for FY
2006, and we did not propose additional
revisions to the IRF classification
system for FY 2008, this comment is
outside the scope of this final rule.
Further, we responded to a very similar
comment in the FY 2007 IRF PPS final
rule (71 FR 48373 through 48374).
However, our analysis of the data
continues to show that the FY 2006
refinements to the IRF classification
system did not cause a reduction in
aggregate IRF payments. We are
continuing to work with the industry to
understand its concerns, and we are
analyzing the FY 2006 IRF claims data
in detail to identify any unanticipated
effects of the FY 2006 revisions to the
classification system on IRF payments.
However, our analysis of the data
continues to show that we implemented
the FY 2006 refinements to the IRF
classification system in a budget neutral
manner, so that estimated aggregate
payments to providers did not increase
or decrease as a result of these
refinements. Although our preliminary
data do not show any decrease in IRF
aggregate payments for FY 2006
resulting from the FY 2006 revisions to
the IRF classification system, we will
continue to analyze the FY 2006 data to
determine whether additional
refinements to the IRF classification
system are necessary in the future.
Final Decision: After carefully
reviewing the comments that we
received on the proposed changes to the
CMG relative weights and average
length of stay values, we proposed and
will finalize our decision to update the
CMG relative weights and the average
length of stay values for FY 2008, as
shown in Table 1.
TABLE 1.—RELATIVE WEIGHTS AND AVERAGE LENGTHS OF STAY FOR CASE MIX GROUPS
0101 .........
0102 .........
0103 .........
0104 .........
0105 .........
0106 .........
ebenthall on PROD1PC71 with RULES2
0107 .........
0108 .........
0109 .........
VerDate Aug<31>2005
Relative weights
Average length of stay
CMG description
(M=motor, C=cognitive, A=age)
Tier 1
Tier 2
Tier 3
None
Stroke
M>51.05 .....................................................................
0.7707
0.7303
0.6572
0.6347
8
11
9
9
Stroke
M>44.45 and M<51.05 and C>18.5 ..........................
0.9493
0.8995
0.8095
0.7818
11
15
11
10
Stroke
M>44.45 and M<51.05 and C<18.5 ..........................
1.1192
1.0605
0.9544
0.9218
14
13
12
12
Stroke
M>38.85 and M<44.45 ..............................................
1.1885
1.1260
1.0134
0.9787
13
14
13
13
Stroke
M>34.25 and M<38.85 ..............................................
1.4261
1.3512
1.2161
1.1745
16
17
16
15
Stroke
M>30.05 and M<34.25 ..............................................
1.6594
1.5722
1.4150
1.3666
18
20
18
18
Stroke
M>26.15 and M<30.05 ..............................................
1.9150
1.8145
1.6330
1.5771
21
23
21
20
Stroke
M<26.15 and A>84.5 .................................................
2.2160
2.0997
1.8897
1.8250
28
29
25
24
CMG
Tier 1
Stroke
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Tier 3
None
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TABLE 1.—RELATIVE WEIGHTS AND AVERAGE LENGTHS OF STAY FOR CASE MIX GROUPS—Continued
Relative weights
Average length of stay
0110 .........
0201 .........
0202 .........
0203 .........
0204 .........
0205 .........
0206 .........
0207 .........
0301 .........
0302 .........
0303 .........
0304 .........
0401 .........
0402 .........
0403 .........
0404 .........
0405 .........
0501 .........
0502 .........
0503 .........
ebenthall on PROD1PC71 with RULES2
0504 .........
0505 .........
0506 .........
0601 .........
VerDate Aug<31>2005
CMG description
(M=motor, C=cognitive, A=age)
Tier 1
Tier 2
Tier 3
None
M>22.35 and M<26.15 and A<84.5 ...........................
CMG
2.1998
2.0843
1.8758
1.8116
23
26
24
23
Stroke
M<22.35 and A<84.5 .................................................
2.6287
2.4907
2.2416
2.1649
30
33
28
27
Traumatic brain injury
M>53.35 and C>23.5 .................................................
0.8143
0.6806
0.6080
0.5647
10
9
9
8
Traumatic brain injury
M>44.25 and M<53.35 and C>23.5 ..........................
1.0460
0.8743
0.7810
0.7254
12
10
11
9
Traumatic brain injury
M>44.25 and C<23.5 .................................................
1.2503
1.0450
0.9335
0.8671
15
15
12
12
Traumatic brain injury
M>40.65 and M<44.25 ..............................................
1.3390
1.1192
0.9998
0.9287
15
16
13
13
Traumatic brain injury
M>28.75 and M<40.65 ..............................................
1.6412
1.3718
1.2254
1.1382
17
18
16
15
Traumatic brain injury
M>22.05 and M<28.75 ..............................................
2.1445
1.7924
1.6011
1.4873
23
22
21
20
Traumatic brain injury
M<22.05 .....................................................................
2.7664
2.3122
2.0655
1.9185
35
29
26
25
Non-traumatic brain injury
M>41.05 .....................................................................
1.1394
0.9533
0.8552
0.7772
12
12
11
10
Non-traumatic brain injury
M>35.05 and M<41.05 ..............................................
1.4875
1.2446
1.1164
1.0147
14
16
14
13
Non-traumatic brain injury
M>26.15 and M<35.05 ..............................................
1.7701
1.4810
1.3285
1.2074
20
19
17
16
Non-traumatic brain injury
M<26.15 .....................................................................
2.4395
2.0410
1.8309
1.6640
32
25
23
21
Traumatic spinal cord injury
M>48.45 .....................................................................
0.9587
0.8456
0.7722
0.6858
12
12
11
10
Traumatic spinal cord injury
M>30.35 and M<48.45 ..............................................
1.3256
1.1691
1.0676
0.9482
18
16
14
13
Traumatic spinal cord injury
M>16.05 and M<30.35 ..............................................
2.3069
2.0347
1.8580
1.6502
22
24
24
22
Traumatic spinal cord injury
M<16.05 and A>63.5 .................................................
4.1542
3.6639
3.3458
2.9717
51
46
41
37
Traumatic spinal cord injury
M<16.05 and A<63.5 .................................................
3.1371
2.7668
2.5266
2.2441
33
37
33
28
Non-traumatic spinal cord injury
M>51.35 .....................................................................
0.7648
0.6455
0.5687
0.5071
9
8
8
7
Non-traumatic spinal cord injury
M>40.15 and M<51.35 ..............................................
1.0262
0.8661
0.7630
0.6804
13
12
11
9
Non-traumatic spinal cord injury
M>31.25 and M<40.15 ..............................................
1.3596
1.1476
1.0109
0.9014
15
15
13
12
Non-traumatic spinal cord injury
M>29.25 and M<31.25 ..............................................
1.6984
1.4335
1.2628
1.1260
21
19
16
15
Non-traumatic spinal cord injury
M>23.75 and M<29.25 ..............................................
2.0171
1.7025
1.4997
1.3373
23
22
19
18
Non-traumatic spinal cord injury
M<23.75 .....................................................................
2.7402
2.3128
2.0374
1.8167
29
28
26
23
Tier 1
Neurological
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TABLE 1.—RELATIVE WEIGHTS AND AVERAGE LENGTHS OF STAY FOR CASE MIX GROUPS—Continued
Relative weights
Average length of stay
0602 .........
0603 .........
0604 .........
0701 .........
0702 .........
0703 .........
0704 .........
0801 .........
0802 .........
0803 .........
0804 .........
0805 .........
0806 .........
0901 .........
0902 .........
0903 .........
0904 .........
1001 .........
1002 .........
1003 .........
ebenthall on PROD1PC71 with RULES2
1101 .........
1102 .........
1201 .........
1202 .........
VerDate Aug<31>2005
CMG description
(M=motor, C=cognitive, A=age)
Tier 1
Tier 2
Tier 3
None
M>47.75 .....................................................................
CMG
0.8991
0.7330
0.7019
0.6522
11
10
9
9
Neurological
M>37.35 and M<47.75 ..............................................
1.1968
0.9757
0.9342
0.8682
13
13
13
12
Neurological
M>25.85 and M<37.35 ..............................................
1.5326
1.2495
1.1965
1.1118
17
17
15
15
Neurological
M<25.85 .....................................................................
1.9592
1.5973
1.5295
1.4213
22
20
21
19
Fracture of lower extremity
M>42.15 .....................................................................
0.9028
0.7717
0.7338
0.6617
12
11
10
9
Fracture of lower extremity
M>34.15 and M<42.15 ..............................................
1.1736
1.0033
0.9539
0.8602
13
14
13
12
Fracture of lower extremity
M>28.15 and M<34.15 ..............................................
1.4629
1.2506
1.1890
1.0722
16
17
16
14
Fracture of lower extremity
M<28.15 .....................................................................
1.7969
1.5361
1.4605
1.3170
20
20
19
18
Replacement of lower extremity joint
M>49.55 .....................................................................
0.6537
0.5504
0.5131
0.4607
7
7
7
6
Replacement of lower extremity joint
M>37.05 and M<49.55 ..............................................
0.8542
0.7193
0.6704
0.6020
10
10
9
8
Replacement of lower extremity joint
M>28.65 and M<37.05 and A>83.5 ...........................
1.2707
1.0700
0.9974
0.8956
15
15
13
12
Replacement of lower extremity joint
M>28.65 and M<37.05 and A<83.5 ...........................
1.1040
0.9296
0.8665
0.7781
13
12
12
10
Replacement of lower extremity joint
M>22.05 and M<28.65 ..............................................
1.3927
1.1727
1.0931
0.9816
17
16
14
13
Replacement of lower extremity joint
M<22.05 .....................................................................
1.6723
1.4082
1.3126
1.1787
18
19
17
15
Other orthopedic
M>44.75 .....................................................................
0.8425
0.7641
0.6868
0.6120
10
11
10
9
Other orthopedic
M>34.35 and M<44.75 ..............................................
1.1088
1.0057
0.9039
0.8056
13
13
12
11
Other orthopedic
M>24.15 and M<34.35 ..............................................
1.4638
1.3277
1.1934
1.0635
18
19
16
15
Other orthopedic
M<24.15 .....................................................................
1.8341
1.6636
1.4952
1.3325
25
23
21
19
Amputation, lower extremity
M>47.65 .....................................................................
0.9625
0.8879
0.7957
0.7361
11
11
11
10
Amputation, lower extremity
M>36.25 and M<47.65 ..............................................
1.2709
1.1724
1.0507
0.9719
14
15
14
13
Amputation, lower extremity
M<36.25 .....................................................................
1.7876
1.6491
1.4779
1.3671
19
22
19
18
Amputation, non-lower extremity
M>36.35 .....................................................................
1.2554
1.0482
0.9225
0.8496
14
15
12
11
Amputation, non-lower extremity
M<36.35 .....................................................................
1.8824
1.5717
1.3832
1.2739
19
19
18
17
Osteoarthritis
M>37.65 .....................................................................
1.0177
0.8785
0.8182
0.7405
11
12
11
10
Tier 1
Osteoarthritis
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Tier 3
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TABLE 1.—RELATIVE WEIGHTS AND AVERAGE LENGTHS OF STAY FOR CASE MIX GROUPS—Continued
Relative weights
Average length of stay
1203 .........
1301 .........
1302 .........
1303 .........
1401 .........
1402 .........
1403 .........
1404 .........
1501 .........
1502 .........
1503 .........
1504 .........
1601 .........
1602 .........
1603 .........
1701 .........
1702 .........
1703 .........
1704 .........
ebenthall on PROD1PC71 with RULES2
1801 .........
1802 .........
1803 .........
VerDate Aug<31>2005
CMG description
(M=motor, C=cognitive, A=age)
Tier 1
Tier 2
Tier 3
None
M>30.75 and M<37.65 ..............................................
CMG
1.3168
1.1367
1.0586
0.9581
15
16
14
13
Osteoarthritis
M<30.75 .....................................................................
1.6241
1.4020
1.3057
1.1817
21
19
17
16
Rheumatoid, other arthritis
M>36.35 .....................................................................
1.0354
0.9636
0.8511
0.7429
12
13
11
10
Rheumatoid, other arthritis
M>26.15 and M<36.35 ..............................................
1.4321
1.3327
1.1772
1.0275
15
18
15
14
Rheumatoid, other arthritis
M<26.15 .....................................................................
1.8250
1.6984
1.5002
1.3094
22
21
20
18
Cardiac
M>48.85 .....................................................................
0.8160
0.7351
0.6534
0.5861
10
9
9
8
Cardiac
M>38.55 and M<48.85 ..............................................
1.1038
0.9944
0.8839
0.7928
12
13
12
11
Cardiac
M>31.15 and M<38.55 ..............................................
1.3705
1.2347
1.0975
0.9844
16
16
14
13
Cardiac
M<31.15 .....................................................................
1.7370
1.5649
1.3910
1.2477
21
20
18
16
Pulmonary
M>49.25 .....................................................................
0.9986
0.8870
0.7793
0.7399
11
13
10
10
Pulmonary
M>39.05 and M<49.25 ..............................................
1.2661
1.1246
0.9880
0.9381
13
15
12
12
Pulmonary
M>29.15 and M<39.05 ..............................................
1.5457
1.3730
1.2062
1.1453
16
16
15
15
Pulmonary
M<29.15 .....................................................................
2.0216
1.7957
1.5775
1.4979
26
21
20
18
Pain syndrome
M>37.15 .....................................................................
1.0070
0.8550
0.7774
0.6957
12
11
10
10
Pain syndrome
M>26.75 and M<37.15 ..............................................
1.3826
1.1739
1.0673
0.9552
15
17
14
13
Pain syndrome
M<26.75 .....................................................................
1.7025
1.4455
1.3143
1.1762
19
19
18
16
Major multiple trauma without brain or spinal cord
injury
M>39.25 .....................................................................
0.9818
0.9641
0.8479
0.7368
12
12
11
10
Major multiple trauma without brain or spinal cord
injury
M>31.05 and M<39.25 ..............................................
1.2921
1.2688
1.1158
0.9696
14
16
15
13
Major multiple trauma without brain or spinal cord
injury
M>25.55 and M<31.05 ..............................................
1.5356
1.5080
1.3262
1.1524
17
20
18
16
Major multiple trauma without brain or spinal cord
injury
M<25.55 .....................................................................
1.9246
1.8899
1.6620
1.4443
26
26
22
19
Major multiple trauma with brain or spinal cord injury
M>40.85 .....................................................................
1.1920
0.9866
0.8243
0.7342
15
13
13
10
Major multiple trauma with brain or spinal cord injury
M>23.05 and M<40.85 ..............................................
1.9058
1.5774
1.3179
1.1738
19
21
18
16
Major multiple trauma with brain or spinal cord injury
M<23.05 .....................................................................
3.4302
2.8391
2.3721
2.1127
43
33
30
27
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07AUR2
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TABLE 1.—RELATIVE WEIGHTS AND AVERAGE LENGTHS OF STAY FOR CASE MIX GROUPS—Continued
Relative weights
Average length of stay
CMG description
(M=motor, C=cognitive, A=age)
Tier 1
Tier 2
Tier 3
None
Guillian Barre
M>35.95 .....................................................................
1.2399
1.0986
1.0965
0.9350
14
13
14
12
Guillian Barre
M>18.05 and M<35.95 ..............................................
2.3194
2.0552
2.0512
1.7491
27
25
25
23
Guillian Barre
M<18.05 .....................................................................
3.3464
2.9651
2.9593
2.5235
37
39
31
33
Miscellaneous
M>49.15 .....................................................................
0.8734
0.7381
0.6735
0.6084
10
10
9
8
Miscellaneous
M>38.75 and M<49.15 ..............................................
1.1447
0.9674
0.8827
0.7975
12
13
12
11
Miscellaneous
M>27.85 and M<38.75 ..............................................
1.4777
1.2488
1.1395
1.0294
16
16
15
14
Miscellaneous
M<27.85 .....................................................................
1.9716
1.6662
1.5204
1.3735
25
22
20
18
Burns
M>0 ............................................................................
2.1842
2.1842
1.6606
1.4587
27
24
20
17
5001 .........
Short-stay cases, length of stay is 3 days or fewer ..
............
............
............
0.2201
............
............
............
2
5101 .........
Expired, orthopedic, length of stay is 13 days or
fewer.
............
............
............
0.6351
............
............
............
8
5102 .........
Expired, orthopedic, length of stay is 14 days or
more.
............
............
............
1.5985
............
............
............
22
5103 .........
Expired, not orthopedic, length of stay is 15 days or
fewer.
............
............
............
0.7203
............
............
............
8
5104 .........
Expired, not orthopedic, length of stay is 16 days or
more.
............
............
............
1.8784
............
............
............
24
CMG
1901 .........
1902 .........
1903 .........
2001 .........
2002 .........
2003 .........
2004 .........
2101 .........
VI. FY 2008 IRF PPS Federal
Prospective Payment Rates
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A. FY 2008 IRF PPS Market Basket
Increase Factor and Labor-Related
Share
Section 1886(j)(3)(C) of the Act
requires the Secretary to establish an
increase factor that reflects changes over
time in the prices of an appropriate mix
of goods and services included in the
covered IRF services, which is referred
to as a market basket index. In updating
the FY 2008 payment rates outlined in
this final rule, CMS applied an
appropriate increase factor to the FY
2007 IRF PPS payment rates that is
based on the rehabilitation, psychiatric,
and long-term care hospital (RPL)
market basket. In constructing the RPL
market basket, we used the methodology
set forth in the FY 2006 IRF PPS final
rule (70 FR 47880, 47908 through
47915).
As discussed in that final rule, the
RPL market basket primarily uses the
Bureau of Labor Statistics’ (BLS) data as
price proxies, which are grouped in one
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of the three BLS categories: Producer
Price Indexes (PPI), Consumer Price
Indexes (CPI), and Employment Cost
Indexes (ECI). We evaluated and
selected these particular price proxies
using the criteria of reliability,
timeliness, availability, and relevance,
and believe they continue to be the best
measures of price changes for the cost
categories.
As discussed in the FY 2007 IRF PPS
proposed rule, beginning April 2006
with the publication of March 2006
data, the BLS’ ECI has used a different
classification system, the North
American Industrial Classification
System (NAICS), instead of the Standard
Industrial Codes (SIC). We have
consistently used the ECI as the data
source for our wages and salaries and
other price proxies in the RPL market
basket and did not propose to make any
changes to the data source in the
proposed rule. This final rule’s
estimated FY 2008 IRF market basket
increase factor and labor-related share is
based on the most recent data available
from the BLS.
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Tier 1
Tier 2
Tier 3
None
We will use the same methodology
described in the FY 2006 IRF PPS final
rule to compute the FY 2008 IRF market
basket increase factor and labor-related
share. For this final rule, the FY 2008
IRF market basket increase factor is 3.2
percent. This is based on Global Insight,
Inc.’s (GII) forecast of price proxies for
the second quarter of 2007 (2007Q2)
with historical data through the first
quarter of 2007 (2007Q1).
In addition, we have used the
methodology described in the FY 2006
IRF PPS final rule to update the laborrelated share for FY 2008. As discussed
in the FY 2006 IRF PPS final rule (70
FR 47880, 47915 through 47917), we
rebased and revised the market basket
for FY 2006 using the 2002-based cost
structures for IRFs, inpatient psychiatric
hospitals, and long-term care hospitals
to determine the FY 2006 labor-related
share. For FY 2007, we used the same
methodology discussed in the FY 2006
IRF PPS final rule (70 FR 47880, 47908
through 47917) to determine the FY
2007 IRF labor-related share. For FY
2008, we continue to use the same
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methodology discussed in the FY 2006
IRF PPS final rule. As shown in Table
2, the total FY 2008 RPL labor-related
share is 75.818 percent in this final rule.
TABLE 2.—FY 2008 IRF LABOR-RELATED SHARE RELATIVE IMPORTANCE
Cost category
FY 2008 IRF
labor-related relative importance
Wages and salaries ..........
Employee benefits ............
Professional fees ..............
All other labor intensive
services .........................
52.640
14.125
2.907
Subtotal .....................
Labor-related share of
capital costs ..................
71.816
Total ...........................
75.818
2.144
4.002
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Source: Global Insight, Inc, 2nd Qtr, 2007;
@USMACRO/CONTROL0507@CISSIM/
TL0507.SIM, Historical Data through 1st QTR,
2007.
We received two comments on the
proposed FY 2008 IRF PPS market
basket and labor-related share, which
are summarized below.
Comment: One commenter requested
that the IRF PPS market basket
adjustments be calculated using more
current market basket data, stating that
the inflation factors for FY 2008 are
based upon data that are 5 years old (FY
2002). The commenter suggested that
this may result in an underestimation of
the labor cost inflation experienced by
IRFs.
Response: We disagree with the
comment that the inflation factors used
in the market basket are based upon
data that are 5 years old. To derive the
IRF market basket, we use FY 2002 data
to derive the relative cost weights for
the base year. While these cost weights
remain fixed until the market basket is
rebased to a new base year, data for the
respective price proxies are frequently
updated to reflect more recent data as
they become available. The final IRF
market basket update for FY 2008 is
based on GII’s forecast for the second
quarter of 2007 (2007Q2). This forecast
reflects historical data for the various
inflation factors through the first quarter
of 2007 (2007Q1).
Comment: Several commenters
expressed concern about the
methodology for computing the laborrelated share. One commenter requested
that we begin updating the labor-related
share on an annual basis in FY 2009
using the most recent available data.
The commenter stated that the current
calculation of the labor-related share is
based on 2002 data and expressed
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concern that this time lag is distorting
actual labor cost trends being
experienced by IRFs. Another
commenter said that the methodology
does not adequately reflect the difficulty
IRFs have in recruiting a skilled labor
force.
Response: We disagree with the
commenters’ view that the methodology
does not reflect accurate labor-related
costs for IRFs. The FY 2008 laborrelated share is calculated as the sum of
the relative importance of those costs
that are related to, influenced by, or
vary with the local labor market. This
includes wages and salaries, fringe
benefits, professional fees, laborintensive services, and a portion of
capital costs. We calculate this share
based on the cost weights associated
with the 2002-based RPL market basket,
which is constructed using Medicare
Cost Reports submitted by IRFs.
Further, we believe these weights
adequately reflect the current cost
structures of Medicare-participating
IRFs given our methodology for
calculating the labor-related relative
importance for FY 2008. First, we
compute the FY 2008 price index level
for the total market basket and each cost
category of the market basket. Second,
we calculate a ratio for each cost
category by dividing the FY 2008 price
index level for that cost category by the
total market basket price index level.
Third, we determine the FY 2008
relative importance for each cost
category by multiplying this ratio by the
base year (FY 2002) weight. Finally, we
sum the FY 2008 relative importance for
each of the labor-related categories to
produce the FY 2008 labor-related
relative importance.
The price proxies that move the
different cost categories in the market
basket do not necessarily change at the
same rate, and the relative importance
captures these changes. Accordingly,
the relative importance figure more
closely reflects the cost share weights
for FY 2008 when compared to the base
year weights from the 2002-based RPL
market basket. We revised and rebased
the market basket and labor-related
share in FY 2006 and expect to conduct
additional updates on a regular basis.
Final Decision: We will continue to
update the IRF PPS payment rates using
our current methodology, which reflects
the most recent available data. For this
final rule, the FY 2008 IRF market
basket increase factor is 3.2 percent and
the labor-related share is 75.818 percent.
This is based on GII’s forecast for the
second quarter of 2007 (2007Q2) with
historical data through the first quarter
of 2007 (2007Q1).
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B. Area Wage Adjustment
Section 1886(j)(6) of the Act requires
the Secretary to adjust the proportion
(as estimated by the Secretary from time
to time) of rehabilitation facilities’ costs
attributable to wages and wage-related
costs by a factor (established by the
Secretary) reflecting the relative hospital
wage level in the geographic area of the
rehabilitation facility compared to the
national average wage level for those
facilities. The Secretary is required to
update the wage index on the basis of
information available to the Secretary
on the wages and wage-related costs to
furnish rehabilitation services. Any
adjustments or updates made under
section 1886(j)(6) of the Act for a FY are
made in a budget neutral manner.
In the FY 2007 IRF PPS final rule, we
maintained the methodology described
in the FY 2006 IRF PPS final rule to
determine the wage index, labor market
area definitions, and hold harmless
policy consistent with the rationale
outlined in that final rule (70 FR 47880,
47917 through 47933). In the FY 2006
IRF PPS final rule, we adopted a 3-year
hold harmless policy specifically for
rural IRFs whose labor market
designations changed from rural to
urban under the CBSA-based labor
market area designations. This policy
specifically applied to IRFs that had
been previously designated rural and
which, effective for discharges on or
after October 1, 2005, would otherwise
have become ineligible for the 19.14
percent rural adjustment. For FY 2008,
the third and final year of the 3-year
phase-out of the budget neutral hold
harmless policy, we will no longer
apply an adjustment for IRFs that meet
the criteria described in the FY 2006
final rule (70 FR 47880, 47923 through
47926).
For FY 2008, we will maintain the
policies and methodologies described in
the FY 2007 IRF PPS final rule relating
to the labor market area definitions, the
wage index methodology for areas with
wage data, and hold harmless policy
consistent with the rationale outlined in
the FY 2006 IRF PPS final rule (70 FR
47880, 47917 through 47933). Therefore,
this final rule continues to use the
CBSA labor market area definitions and
the pre-reclassification and pre-floor
hospital wage index based on 2003 cost
report data. In addition, the budget
neutral hold harmless policy established
in the FY 2006 final rule will expire for
discharges occurring on or after October
1, 2007.
In adopting the CBSA geographic
designations in FY 2006, we provided a
1-year transition with a blended wage
index for all providers. For FY 2006, the
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wage index for each provider consisted
of a blend of 50 percent of the FY 2006
metropolitan statistical area (MSA)based wage index and 50 percent of the
FY 2006 CBSA-based wage index (both
using FY 2001 hospital data). We
referred to the blended wage index as
the FY 2006 IRF PPS transition wage
index. As discussed in the FY 2006 IRF
PPS final rule (70 FR 47880, 47926),
subsequent to the expiration of this 1year transition on September 30, 2006,
we used the full CBSA-based wage
index values as published in the
Addendum of the FY 2007 IRF PPS final
rule (71 FR 48354) and in the
Addendum of this final rule.
When adopting OMB’s new labor
market designations, we identified some
geographic areas where there were no
hospitals and, thus, no hospital wage
index data on which to base the
calculation of the IRF PPS wage index
(70 FR 47880).
In this final rule, we are revising our
methodology to determine a proxy for
rural areas without hospital wage data.
Under the CBSA labor market areas,
there are no rural hospitals in rural
Massachusetts and rural Puerto Rico.
Because there was no rural proxy for
more recent rural data within those
areas, we used the FY 2006 wage index
value in both FY 2006 and FY 2007 for
rural Massachusetts and rural Puerto
Rico.
Due to the use of the same wage index
value (from FY 2006) for these areas for
two fiscal years, we believe it is
appropriate at this point to consider
alternatives in our methodology to
update the wage index for rural areas
without rural hospital wage index data.
We believe that the best imputed proxy
would (1) use pre-floor, pre-reclassified
hospital data, (2) be easy to evaluate, (3)
use the most local data, and (4) be easily
updateable from year-to-year. Since the
implementation of the IRF PPS, we have
used the pre-floor, pre-reclassified
hospital wage data that is easy to
evaluate and is updatable from year-toyear. In addition, the IRF PPS wage
index is based on hospitals’ cost report
data, which reflects local available data.
Therefore, we believe the imputed
proxy for a rural area without hospital
wage data is consistent with our past
methodology and other post-acute PPS
wage index policy. Although our
current methodology uses rural prefloor, pre-reclassified hospital wage
data, this method is not updateable from
year-to-year.
Therefore, in cases where there is a
rural area without rural hospital wage
data, we are finalizing the use of the
average wage index from all contiguous
CBSAs to represent a reasonable proxy
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for the rural area within a State. While
this approach does not use rural data, it
does use pre-floor, pre-reclassified
hospital wage data, it is easy to evaluate,
it is updateable from year-to-year, and it
uses the most local data available.
In determining an imputed rural wage
index, we interpret the term
‘‘contiguous’’ to mean sharing a border.
For example, in the case of
Massachusetts, the entire rural area
consists of Dukes and Nantucket
counties. We have determined that the
borders of Dukes and Nantucket
counties are local and contiguous with
Barnstable and Bristol counties. Under
this methodology, the wage indexes for
the counties of Barnstable (CBSA 12700:
1.2539) and Bristol (CBSA 39300:
1.0783) are averaged, resulting in an
imputed rural wage index of 1.1661 for
rural Massachusetts for FY 2008. We
believe that this policy could be readily
applied to other rural areas that lack
hospital wage data (possibly due to
hospitals converting to a different
provider type, such as a critical access
hospital, that does not submit the
appropriate wage data), and we may reexamine this policy should a similar
situation arise in the future.
However, we do not believe that this
policy is appropriate for Puerto Rico.
There are sufficient economic
differences between hospitals in the
United States and those in Puerto Rico
(including the payment of hospitals in
Puerto Rico using blended Federal/
Commonwealth-specific rates) that a
separate and distinct policy for Puerto
Rico is necessary. Consequently, any
alternative methodology for imputing a
wage index for rural Puerto Rico would
need to take into account these
economic differences and the payment
rates hospitals receive in Puerto Rico.
Our policy of imputing a rural wage
index based on the wage index(es) of
CBSAs contiguous to the rural area in
question does not recognize the unique
circumstances of Puerto Rico. While we
have not yet identified an alternative
methodology for imputing a wage index
for rural Puerto Rico, we will continue
to evaluate the feasibility of using
existing hospital wage data and,
possibly, wage data from other sources.
By maintaining our current policy for
Puerto Rico, we will maintain
consistency with other post-acute care
PPS wage index policies. Accordingly,
we will continue using the most recent
wage index previously available for
Puerto Rico; that is, a wage index of
0.4047.
In the FY 2006 IRF PPS final rule (70
FR 47880, 47920), we notified the
public that the Office of Management
and Budget (OMB) published a bulletin
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44299
that changed the titles of certain CBSAs
after the publication of our FY 2006 IRF
PPS proposed rule (70 FR 30186). Since
the publication of the FY 2006 IRF PPS
final rule, OMB published additional
bulletins that updated the CBSAs.
Specifically, OMB added or deleted
certain CBSA numbers and revised
certain titles. Accordingly, in this final
rule, we are clarifying that this and all
subsequent IRF PPS rules and notices
are considered to incorporate the CBSA
changes published in the most recent
OMB bulletin that applies to the
hospital wage data used to determine
the current IRF PPS wage index. The
OMB bulletins may be accessed online
at https://www.whitehouse.gov/omb/
bulletins/.
To calculate the wage-adjusted facility
payment for the payment rates set forth
in this final rule, we multiply the
unadjusted Federal prospective
payment by the FY 2008 RPL laborrelated share (75.818 percent) to
determine the labor-related portion of
the Federal prospective payments. We
then multiply this labor-related portion
by the applicable IRF wage index shown
in Table 1 for urban areas and Table 2
for rural areas in the Addendum.
Adjustments or updates to the IRF
wage index made under section
1886(j)(6) of the Act must be made in a
budget neutral manner; therefore, we
calculated a budget neutral wage
adjustment factor as established in the
August 1, 2003 final rule and codified
at § 412.624(e)(1), and described in the
steps below. We use the following steps
to ensure that the FY 2008 IRF standard
payment conversion factor reflects the
update to the wage indexes (based on
the FY 2003 pre-reclassified and prefloor hospital wage data) and the laborrelated share in a budget neutral
manner:
Step 1. Determine the total amount of
the estimated FY 2007 IRF PPS rates,
using the FY 2007 standard payment
conversion factor and the labor-related
share and the wage indexes from FY
2007 (as published in the FY 2007 IRF
PPS final rule).
Step 2. Calculate the total amount of
estimated IRF PPS payments, using the
FY 2007 standard payment conversion
factor and the FY 2008 labor-related
share and CBSA urban and rural wage
indexes.
Step 3. Divide the amount calculated
in step 1 by the amount calculated in
step 2, which equals the FY 2008 budget
neutral wage adjustment factor of
1.0028.
Step 4. Apply the FY 2008 budget
neutral wage adjustment factor from
step 3 to the FY 2007 IRF PPS standard
payment conversion factor after the
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application of the estimated market
basket update to determine the FY 2008
standard payment conversion factor.
We received a few comments on the
proposed IRF PPS wage index, which
are summarized below.
Comment: A few commenters
recommended that we revise the urban
IRF PPS wage index policies to stabilize
the wage index from one year to the
next. The commenters stated that the FY
2008 IRF PPS proposed wage indexes
would be lower than other IRFs or acute
care hospitals in their local market area.
In addition, the variability of the wage
index from one year to the next causes
unpredictable annual revenue swings
that make it difficult to retain staff.
Thus, it is difficult for these IRFs to
compete for healthcare personnel in the
same market area as other local IRFs and
acute care hospitals. The wage index
recommendations varied from a general
change to the urban wage index to
specific criteria an IRF must meet in
order to qualify for the commenter’s
recommended wage index policy.
We also received a few public
comments that recommend that we
consider wage index policies under the
acute IPPS because IRFs compete in a
similar labor pool as acute care
hospitals. The IPPS wage index policies
would allow IRFs to benefit from the
IPPS reclassification and/or floor
policies. (A discussion of the IPPS
reclassification and floor policies may
be found on our Web site at https://
www.cms.hhs.gov/AcuteInpatientPPS/
01_overview.asp.)
In addition, commenters
recommended that we conduct further
analysis and discussions with the
industry regarding alternative wage
index methodologies that would
minimize fluctuations in the wage index
and better reflect the costs of IRF labor
in the market areas.
Response: For FY 2008, we proposed
a revision to our methodology to
determine a proxy for rural areas
without hospital wage data. This proxy
would be applied to rural geographic
areas in a State where there is no
hospital wage data. We did not propose
changes in the IRF PPS methodology for
urban areas with available hospital wage
data nor did we propose to revise our
current wage index policies to adopt the
reclassification or floor provisions used
in the IPPS. For this reason, we are not
making changes at this time to wage
index policies beyond what we
discussed in the FY 2008 IRF PPS
proposed rule (72 FR 26230).
A few commenters recommended
alternative approaches to the IRF PPS
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17:54 Aug 06, 2007
Jkt 211001
wage index that we would like to
further analyze and may consider in the
future. For example, we received
recommendations ranging from a
general change to the urban wage index
and wage data to specific criteria an IRF
must meet in order to qualify for the
commenter’s recommended wage index
policy. We met in 2006 and 2007 with
industry representatives that
recommended several different
approaches to the IRF PPS wage index
that they believe would minimize the
shifts in the wage index from one year
to the next. However, we agree with the
commenters that urged us to conduct
further analysis. For this reason, we
believe that it is prudent to refrain from
acting on these recommendations at this
time so that we can consider, if
appropriate, these recommended
approaches and provide the public the
opportunity in future rulemaking to
evaluate and comment upon any
alternatives we may propose.
We reviewed Medicare Payment
Advisory Commission’s (MedPAC) wage
index recommendations as discussed in
MedPAC’s June 2007 report titled,
‘‘Report to Congress: Promoting Greater
Efficiency in Medicare.’’ Although some
commenters recommend that we adopt
the IPPS wage index policies such as
reclassification and floor policies, we
note that MedPAC’s June 2007 report to
Congress recommends that Congress
‘‘repeal the existing hospital wage index
statute, including reclassification and
exceptions, and give the Secretary
authority to establish new wage index
systems.’’ We believe that adopting the
IPPS wage index policies, such as
reclassification or floor, would not be
prudent at this time because MedPAC
suggests that the reclassification and
exception policies in the IPPS wage
index alters the wage index values for
one-third of IPPS hospitals. In addition,
MedPAC found that the exceptions may
lead to anomalies in the wage index. By
adopting the IPPS reclassification and
exceptions at this time, the IRF PPS
wage index may be vulnerable to similar
issues that MedPAC identified in their
June 2007 Report to Congress. However,
we will continue to review and consider
MedPAC’s recommendations on a
refined or an alternative wage index
methodology for the IRF PPS in future
years.
Therefore, we will only revise the
methodology for computing a wage
index for rural areas without hospital
wage data by computing an average
wage index from all contiguous CBSAs
to represent a reasonable proxy for the
PO 00000
Frm 00018
Fmt 4701
Sfmt 4700
rural area within a State (as discussed
above). We may consider the
commenters’ recommended alternative
wage index policies and methodology in
the future.
Comment: We received a comment
that supports the expiration of the holdharmless policy implemented in FY
2006 for IRFs that were rural in FY 2005
and became urban based on the CBSAs.
Specifically, the budget neutral hold
harmless policy established in the FY
2006 final rule will expire for discharges
occurring on or after October 1, 2007.
Response: As discussed above and in
the FY 2006 IRF PPS final rule (70 FR
47880), the hold harmless policy was
implemented in FY 2006 and, as
recommended by the commenter, will
expire for discharges occurring on or
after October 1, 2007.
Final Decision: Although we solicited
public comments on revising the wage
index for rural areas without hospital
wage data, we did not receive any
comments regarding the use of an
imputed wage index for rural areas
without wage data within a State.
Therefore, we proposed and will
finalize in this rule the methodology for
computing a wage index for rural areas
without hospital wage data by
computing an average wage index from
all contiguous CBSAs to represent a
reasonable proxy for the rural area
within a State (as discussed above), as
proposed in the FY 2008 proposed rule.
In addition, the wage index tables for
the IRF PPS in this and all subsequent
IRF PPS rules and notices are
considered to incorporate the CBSA
changes published in the most recent
OMB bulletin (see Web site at https://
www.whitehouse.gov/omb/bulletins/
index.html) that applies to the hospital
wage data used to determine the current
IRF PPS wage index.
C. Description of the IRF Standard
Payment Conversion Factor and
Payment Rates for FY 2008
To calculate the standard payment
conversion factor for FY 2008 and as
illustrated in Table 3 below, we begin
by applying the estimated market basket
increase factor (3.2 percent) to the
standard payment conversion factor for
FY 2007 ($12,981), which equals
$13,396. We then apply the combined
budget neutrality factor for the wage
index and labor related share and final
year of the hold harmless policy of
1.0041 (1.0028 * 1.0013 = 1.0041),
which would result in a standard
payment conversion factor of $13,451.
E:\FR\FM\07AUR2.SGM
07AUR2
44301
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 3.—CALCULATIONS TO DETERMINE THE FY 2008 STANDARD PAYMENT CONVERSION FACTOR
Explanation for adjustment
Calculations
FY 2007 Standard Payment Conversion Factor .................................................................................................................................
FY 2008 Market Basket Increase Factor ............................................................................................................................................
Subtotal ................................................................................................................................................................................................
Budget Neutrality Factor for the Wage Index, Labor-Related Share, and the Hold Harmless Provision ..........................................
FY 2008 Standard Payment Conversion Factor .................................................................................................................................
After the application of the relative
weights, the resulting unadjusted IRF
prospective payment rates for FY 2008
12,981
× 1.032
= 13,396
× 1.0041
= $13,451
are shown below in Table 4, ‘‘FY 2008
Payment Rates.’’
TABLE 4.—FY 2008 PAYMENT RATES
Payment
rate tier
1
ebenthall on PROD1PC71 with RULES2
CMG
0101
0102
0103
0104
0105
0106
0107
0108
0109
0110
0201
0202
0203
0204
0205
0206
0207
0301
0302
0303
0304
0401
0402
0403
0404
0405
0501
0502
0503
0504
0505
0506
0601
0602
0603
0604
0701
0702
0703
0704
0801
0802
0803
0804
0805
0806
0901
0902
0903
0904
1001
1002
1003
1101
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
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Fmt 4701
Payment
rate tier
2
$10,366.69
12,769.03
15,054.36
15,986.51
19,182.47
22,320.59
25,758.67
29,807.42
29,589.51
35,358.64
10,953.15
14,069.75
16,817.79
18,010.89
22,075.78
28,845.67
37,210.85
15,326.07
20,008.36
23,809.62
32,813.71
12,895.47
17,830.65
31,030.11
55,878.14
42,197.13
10,287.32
13,803.42
18,287.98
22,845.18
27,132.01
36,858.43
12,093.79
16,098.16
20,615.00
26,353.20
12,143.56
15,786.09
19,677.47
24,170.10
8,792.92
11,489.84
17,092.19
14,849.90
18,733.21
22,494.11
11,332.47
14,914.47
19,689.57
24,670.48
12,946.59
17,094.88
24,045.01
16,886.39
Sfmt 4700
Payment
rate tier
3
$9,823.27
12,099.17
14,264.79
15,145.83
18,174.99
21,147.66
24,406.84
28,243.06
28,035.92
33,502.41
9,154.75
11,760.21
14,056.30
15,054.36
18,452.08
24,109.57
31,101.40
12,822.84
16,741.11
19,920.93
27,453.49
11,374.17
15,725.56
27,368.75
49,283.12
37,216.23
8,682.62
11,649.91
15,436.37
19,282.01
22,900.33
31,109.47
9,859.58
13,124.14
16,807.02
21,485.28
10,380.14
13,495.39
16,821.82
20,662.08
7,403.43
9,675.30
14,392.57
12,504.05
15,773.99
18,941.70
10,277.91
13,527.67
17,858.89
22,377.08
11,943.14
15,769.95
22,182.04
14,099.34
E:\FR\FM\07AUR2.SGM
$8,840.00
10,888.58
12,837.63
13,631.24
16,357.76
19,033.17
21,965.48
25,418.35
25,231.39
30,151.76
8,178.21
10,505.23
12,556.51
13,448.31
16,482.86
21,536.40
27,783.04
11,503.30
15,016.70
17,869.65
24,627.44
10,386.86
14,360.29
24,991.96
45,004.36
33,985.30
7,649.58
10,263.11
13,597.62
16,985.92
20,172.46
27,405.07
9,441.26
12,565.92
16,094.12
20,573.30
9,870.34
12,830.91
15,993.24
19,645.19
6,901.71
9,017.55
13,416.03
11,655.29
14,703.29
17,655.78
9,238.15
12,158.36
16,052.42
20,111.94
10,702.96
14,132.97
19,879.23
12,408.55
07AUR2
Payment
rate no
comorbidity
$8,537.35
10,515.99
12,399.13
13,164.49
15,798.20
18,382.14
21,213.57
24,548.08
24,367.83
29,120.07
7,595.78
9,757.36
11,663.36
12,491.94
15,309.93
20,005.67
25,805.74
10,454.12
13,648.73
16,240.74
22,382.46
9,224.70
12,754.24
22,196.84
39,972.34
30,185.39
6,821.00
9,152.06
12,124.73
15,145.83
17,988.02
24,436.43
8,772.74
11,678.16
14,954.82
19,117.91
8,900.53
11,570.55
14,422.16
17,714.97
6,196.88
8,097.50
12,046.72
10,466.22
13,203.50
15,854.69
8,232.01
10,836.13
14,305.14
17,923.46
9,901.28
13,073.03
18,388.86
11,427.97
44302
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TABLE 4.—FY 2008 PAYMENT RATES—Continued
Payment
rate tier
1
CMG
1102
1201
1202
1203
1301
1302
1303
1401
1402
1403
1404
1501
1502
1503
1504
1601
1602
1603
1701
1702
1703
1704
1801
1802
1803
1901
1902
1903
2001
2002
2003
2004
2101
5001
5101
5102
5103
5104
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
.................................................................................................
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.................................................................................................
.................................................................................................
.................................................................................................
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ebenthall on PROD1PC71 with RULES2
D. Example of the Methodology for
Adjusting the Federal Prospective
Payment Rates
Table 5 illustrates the methodology
for adjusting the Federal prospective
payments (as described in sections VI.A
through VI.C of this final rule). The
examples below are based on two
hypothetical Medicare beneficiaries,
both classified into CMG 0110 (without
comorbidities). The unadjusted Federal
prospective payment rate for CMG 0110
(without comorbidities) can be found in
Table 4 above.
One beneficiary is in Facility A, an
IRF located in rural Spencer County,
Indiana, and another beneficiary is in
Facility B, an IRF located in urban
Harrison County, Indiana. Facility A, a
non-teaching hospital, has a
disproportionate share hospital (DSH)
percentage of 5 percent (which results
in a LIP adjustment of 1.0309), a wage
index of 0.8538, and an applicable rural
adjustment of 21.3 percent. Facility B, a
VerDate Aug<31>2005
17:54 Aug 06, 2007
Jkt 211001
Payment
rate tier
2
25,320.16
13,689.08
17,712.28
21,845.77
13,927.17
19,263.18
24,548.08
10,976.02
14,847.21
18,434.60
23,364.39
13,432.17
17,030.31
20,791.21
27,192.54
13,545.16
18,597.35
22,900.33
13,206.19
17,380.04
20,655.36
25,887.79
16,033.59
25,634.92
46,139.62
16,677.89
31,198.25
45,012.43
11,748.10
15,397.36
19,876.54
26,519.99
29,379.67
0.00
0.00
0.00
0.00
0.00
teaching hospital, has a DSH percentage
of 15 percent (which results in a LIP
adjustment of 1.0910), a wage index of
0.9118, and an applicable teaching
status adjustment of 0.109.
To calculate each IRF’s labor and nonlabor portion of the Federal prospective
payment, we begin by taking the
unadjusted Federal prospective
payment rate for CMG 0110 (without
comorbidities) from Table 4 above.
Then, we multiply the estimated laborrelated share (75.818) described in
section VI.A of this final rule by the
unadjusted Federal prospective
payment rate. To determine the nonlabor portion of the Federal prospective
payment rate, we subtract the labor
portion of the Federal payment from the
unadjusted Federal prospective
payment.
To compute the wage-adjusted
Federal prospective payment, we
multiply the result of the labor portion
of the Federal payment by the
appropriate wage index found in the
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Sfmt 4700
Payment
rate tier
3
21,140.94
11,816.70
15,289.75
18,858.30
12,961.38
17,926.15
22,845.18
9,887.83
13,375.67
16,607.95
21,049.47
11,931.04
15,126.99
18,468.22
24,153.96
11,500.61
15,790.13
19,443.42
12,968.11
17,066.63
20,284.11
25,421.04
13,270.76
21,217.61
38,188.73
14,777.27
27,644.50
39,883.56
9,928.18
13,012.50
16,797.61
22,412.06
29,379.67
0.00
0.00
0.00
0.00
0.00
18,605.42
11,005.61
14,239.23
17,562.97
11,448.15
15,834.52
20,179.19
8,788.88
11,889.34
14,762.47
18,710.34
10,482.36
13,289.59
16,224.60
21,218.95
10,456.81
14,356.25
17,678.65
11,405.10
15,008.63
17,838.72
22,355.56
11,087.66
17,727.07
31,907.12
14,749.02
27,590.69
39,805.54
9,059.25
11,873.20
15,327.41
20,450.90
22,336.73
0.00
0.00
0.00
0.00
0.00
Payment
rate no
comorbidity
17,135.23
9,960.47
12,887.40
15,895.05
9,992.75
13,820.90
17,612.74
7,883.63
10,663.95
13,241.16
16,782.81
9,952.39
12,618.38
15,405.43
20,148.25
9,357.86
12,848.40
15,821.07
9,910.70
13,042.09
15,500.93
19,427.28
9,875.72
15,788.78
28,417.93
12,576.69
23,527.14
33,943.60
8,183.59
10,727.17
13,846.46
18,474.95
19,620.97
2,960.57
8,542.73
21,501.42
9,688.76
25,266.36
Addendum in Tables 1 and 2, which
will result in the wage-adjusted amount.
Next, we compute the wage-adjusted
Federal payment by adding the wageadjusted amount to the non-labor
portion.
To adjust the Federal prospective
payment by the facility-level
adjustments, there are several steps.
First, we take the wage-adjusted Federal
prospective payment and multiply it by
the appropriate rural and LIP
adjustments (if applicable). Then, to
determine the appropriate amount of
additional payment for the teaching
status adjustment (if applicable), we
multiply the teaching status adjustment
(0.109, in this example) by the wageadjusted and rural-adjusted amount (if
applicable). Finally, we add the
additional teaching status payments (if
applicable) to the wage, rural, and LIPadjusted Federal prospective payment
rate. Table 5 illustrates the components
of the adjusted payment calculation.
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
44303
TABLE 5.—EXAMPLE OF COMPUTING AN IRF’S FY 2008 FEDERAL PROSPECTIVE PAYMENT
Rural Facility A
(Spencer Co.,
IN)
Steps
1 ...................
2 ...................
3 ...................
4 ...................
5 ...................
6 ...................
7 ...................
8 ...................
9 ...................
10 .................
11 .................
12 .................
13 .................
14 .................
15 .................
16 .................
Unadjusted Federal Prospective Payment ...........................................................................
Labor Share ..........................................................................................................................
Labor Portion of Federal Payment ........................................................................................
CBSA Based Wage Index (shown in the Addendum, Tables 1 and 2) ...............................
Wage-Adjusted Amount ........................................................................................................
Non-labor Amount .................................................................................................................
Wage-Adjusted Federal Payment .........................................................................................
Rural Adjustment ...................................................................................................................
Wage- and Rural-Adjusted Federal Payment .......................................................................
LIP Adjustment ......................................................................................................................
FY2007 Wage-, Rural- and LIP-Adjusted Federal Prospective Payment Rate ...................
FY2007 Wage- and Rural-Adjusted Federal Prospective Payment .....................................
Teaching Status Adjustment .................................................................................................
Teaching Status Adjustment Amount ...................................................................................
FY2007 Wage-, Rural-, and LIP-Adjusted Federal Prospective Payment Rate ..................
Total FY2007 Adjusted Federal Prospective Payment .........................................................
Thus, the adjusted payment for
Facility A would be $32,377.76 and the
adjusted payment for Facility B would
be $32,607.32.
ebenthall on PROD1PC71 with RULES2
VII. Update to Payments for High-Cost
Outliers Under the IRF PPS
A. Update to the Outlier Threshold
Amount for FY 2008
Section 1886(j)(4) of the Act provides
the Secretary with the authority to make
payments in addition to the basic IRF
prospective payments for cases
incurring extraordinarily high costs. A
case qualifies for an outlier payment if
the estimated cost of the case exceeds
the adjusted outlier threshold. We
calculate the adjusted outlier threshold
by adding the IRF PPS payment for the
case (that is, the CMG payment adjusted
by all of the relevant facility-level
adjustments) and the adjusted threshold
amount (also adjusted by all of the
relevant facility-level adjustments).
Then, we calculate the estimated cost of
a case by multiplying the IRF’s overall
cost-to-charge ratio (CCR) by the
Medicare allowable covered charge. If
the estimated cost of the case is higher
than the adjusted outlier threshold, we
make an outlier payment for the case
equal to 80 percent of the difference
between the estimated cost of the case
and the outlier threshold.
In the August 7, 2001 final rule (66 FR
41316, 41362 through 41363), we
discussed our rationale for setting the
outlier threshold amount for the IRF
PPS so that estimated outlier payments
would equal 3 percent of total estimated
payments. Subsequently, we updated
the IRF outlier threshold amount in the
FYs 2006 and 2007 IRF PPS final rules
(70 FR 47880 and 71 FR 48354) to
maintain estimated outlier payments at
3 percent of total estimated payments,
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17:54 Aug 06, 2007
Jkt 211001
and we also stated that we would
continue to analyze the estimated
outlier payments for subsequent years
and adjust the outlier threshold amount
as appropriate to maintain the 3 percent
target.
For this final rule, we performed an
updated analysis of FY 2006 claims and
IRF-PAI data using the same
methodology that we used to set the
initial outlier threshold amount when
we first implemented the IRF PPS in the
August 7, 2001 final rule (66 FR 41316),
which is also the same methodology
that we used to update the outlier
threshold amounts for FYs 2006 and
2007. Using the updated FY 2006 claims
and IRF-PAI data, we estimate that IRF
outlier payments as a percentage of total
estimated payments for FY 2007
increased from 3 percent using the FY
2004 data to approximately 3.7 percent
using the updated FY 2006 data.
Based on the updated analysis using
FY 2006 data, and consistent with the
broad statutory authority conferred
upon the Secretary in sections
1886(j)(4)(A)(i) and 1886(j)(4)(A)(ii) of
the Act, we are updating the outlier
threshold amount to $7,362 to decrease
estimated outlier payments from
approximately 3.7 to 3 percent of total
estimated aggregate IRF payments for
FY 2008.
B. Update to the IRF Cost-to-Charge
Ratio Ceilings
In accordance with the methodology
stated in the August 1, 2003 final rule
(68 FR 45692 through 45694), we apply
a ceiling to IRFs’ cost-to-charge ratios
(CCRs). Using the methodology
described in that final rule, we are
updating the national urban and rural
CCRs for IRFs. We apply the national
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Fmt 4701
Sfmt 4700
$29,120.07
× 0.75818
= $22,078.25
× 0.8538
= $18,850.41
+ $7,041.82
= $25,892.23
× 1.213
= $31,407.27
× 1.0309
= $32,377.76
$31,407.27
× 0.000
= $0.00
+ $32,377.76
= $32,377.76
Urban Facility B
(Harrison Co.,
IN)
$29,120.07
× 0.75818
= $22,078.25
× 0.9118
= $20,130.95
+ $7,041.82
= $27,172.77
× 1.000
= $27,172.77
× 1.0910
= $29,645.49
$27,172.77
× 0.109
= $2,961.83
+ $29,645.49
= $32,607.32
urban and rural CCRs in the following
situations:
• New IRFs that have not yet
submitted their first Medicare cost
report.
• IRFs whose overall CCR is in excess
of 3 standard deviations above the
corresponding national geometric mean,
which is set at 1.56 for FY 2008.
• Other IRFs for whom accurate data
with which to calculate an overall CCR
are not available.
Specifically, for FY 2008, we estimate
a national CCR of 0.596 for rural IRFs
and 0.476 for urban IRFs. For new
facilities, we use these national ratios
until the data become available for us to
compute the facility’s actual CCR using
the first tentative settled or final settled
cost report data, which we will then use
for the subsequent cost reporting period.
C. Adjustment of IRF Outlier Payments
In the August 1, 2003 final rule (68 FR
45674, 45693 through 45694), we
finalized a proposal to make IRF outlier
payments subject to reconciliation when
IRFs’ cost reports are settled, consistent
with the policy adopted for IPPS
hospitals in the June 9, 2003 IPPS final
rule (68 FR 34494, 34501). The revised
methodology provides for retroactive
adjustments to IRF outlier payments to
account for differences between the
CCRs from the latest settled cost report
and the actual CCRs computed at the
time the cost report that coincides with
the date of discharge is settled using the
cost and charge data from that cost
report. This revised methodology
addresses vulnerabilities found in the
IPPS and the IRF outlier payment
policies, which may have resulted in
outlier payments that were too high or
too low. Along these lines, we are
analyzing IRF outlier payments from the
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ebenthall on PROD1PC71 with RULES2
44304
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
beginning of the IRF PPS through FY
2005, obtained from IRFs’ cost report
filings, to identify specific payment
vulnerabilities in the IRF outlier
payment policy.
Under this policy, which is outlined
in § 412.624(e)(5), which in turn
references § 412.84(i) and § 412.84(m) of
the IPPS regulations, outlier payments
will be processed on an interim basis
throughout the year using IRFs’ CCRs
based on the best information available
at the time. When an IRF’s cost report
is settled, any reconciliation of outlier
payments by fiscal intermediaries will
be based on the relationship between an
IRF’s costs and charges at the time a
particular discharge actually occurred.
This revised methodology ensures that
the final outlier payments reflect an
accurate assessment of the actual costs
that the IRF incurred for treating the
case.
We have not yet issued instructions to
the fiscal intermediaries regarding IRF
outlier reconciliation because we have
been analyzing the data and assessing
the systems changes necessary to
conduct the reconciliation. Thus, we
will soon issue instructions to fiscal
intermediaries to begin reconciling IRF
outlier payments upon settlement of IRF
cost reports.
We received several comments on the
proposed high-cost outliers under the
IRF PPS, which are summarized below.
Comment: One commenter suggested
that CMS adopt a new methodology for
modeling charge increases and cost-tocharge ratio (CCR) changes in estimating
the outlier threshold amount, similar to
the methodology implemented for IPPS
hospitals in the FY 2007 IPPS final rule
(71 FR 47870, 48150 through 48151).
Response: In response to the
comment, we considered adopting the
same methodology described in the FY
2007 IPPS final rule (71 FR 47870,
48150 through 48151) for projecting cost
and charge growth in estimating the FY
2008 IRF outlier threshold amount.
However, we discovered that the
accuracy of the projections depends on
the case mix of patients in the facilities
remaining similar from year to year, as
it does in IPPS hospitals. However, with
the recent phase in of the enforcement
of the 75 percent rule criteria, we find
evidence of relatively large changes in
the case mix of patients in IRFs,
especially in the years immediately
following the reinstatement of
enforcement of the 75 percent rule (FYs
2004 through 2006). In performing our
analysis, we discovered that we could
get inaccurate results if we based future
projections of cost and charge growth on
data from years in which IRFs were
experiencing abnormal fluctuations in
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case mix. Rather than implementing an
outlier threshold amount for FY 2008
based on these potentially inaccurate
results, we thought a better approach
would be to wait until we could further
analyze the interactions between case
mix changes and IRF cost and charge
growth. Our analysis of the data
suggests that it is likely better to wait
until the 75 percent rule has been fully
phased in, and the IRF case mix has
stabilized, before we attempt to project
cost and charge growth using a new
methodology. Otherwise, the substantial
changes occurring in the system all at
the same time, including changes in
IRFs’ charges, costs, and case mix, could
compromise the accuracy of our results.
For the reasons described above, our
analysis shows that using the same
methodology we used previously for
updating the outlier threshold amount
for FY 2008 is the best approach at this
time. However, we will carefully
consider the commenter’s suggestions as
we investigate alternative approaches
for projecting IRF cost and charge
growth in estimating future updates to
the IRF outlier threshold amount.
Comment: One commenter requested
that we use updated FY 2006 data to
estimate the IRF outlier threshold
amount for FY 2008, because the FY
2006 data better reflect changes in the
volume of IRF cases due to the 75
percent rule.
Response: We agree with the
commenter and we have updated our
analysis for this final rule based on FY
2006 data using the same methodology
that was described in the August 7, 2001
final rule (66 FR 41316), which was the
same methodology used to calculate the
proposed outlier threshold for the FY
2008 proposed rule (72 FR 26250).
Comment: In the proposed rule, we
indicated that we would investigate the
reasons for our finding that estimated
FY 2007 outlier payments increased
from 3.0 to 3.8 percent of total estimated
payments when we updated the claims
data used in the calculations from FY
2004 to FY 2005. Two commenters
requested that we report the findings of
our analysis and our rationale for
increasing the outlier threshold amount
in this final rule.
Response: Our analysis of the increase
in estimated FY 2007 outlier payments
using the updated FY 2005 claims data
(compared with the FY 2004 claims
data) shows that the increase was
caused primarily by increases in IRF
charges and cost-to-charge ratios (CCRs)
between FY 2004 and FY 2005. As
discussed above in section VII.C of this
final rule, we are continuing to examine
these changes closely to assess whether
they indicate the presence of specific
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payment vulnerabilities in the IRF
outlier payment policy. This is ongoing
research, but we have already
discovered large variations in charges
and CCRs among IRFs from year to year
since the implementation of the IRF PPS
that we believe may be indicative of
specific payment vulnerabilities in the
IRF PPS outlier payment policy.
For this final rule, we used updated
FY 2006 IRF claims data to analyze IRF
outliers. Similar to the findings from the
FY 2005 data, the FY 2006 data show
that estimated IRF outlier payments
would equal 3.7 percent of total
estimated payments in FY 2007. Thus,
based on the analysis of both the FYs
2005 and 2006 data, we believe that
continuing to use the same outlier
threshold amount for FY 2008 that we
implemented for FY 2007 would result
in an overpayment of IRF outlier
payments, above the 3 percent outlier
pool that we established when we first
implemented the IRF PPS. For this
reason, we are finalizing our decision to
update the IRF outlier threshold amount
for FY 2008 to $7,362, based on analysis
of FY 2006 data.
Comment: Two commenters
supported the proposed change to the
IRF outlier threshold amount for FY
2008 to maintain estimated outlier
payments at 3 percent of total estimated
payments. One commenter indicated
that the outlier threshold amount may
have been set too low in FYs 2006 and
2007, which they said may have meant
that the standard payment conversion
factor in these years was also too low.
Response: We agree with these
commenters that it is important to
adjust the outlier threshold amount to
maintain estimated outlier payments at
3 percent of total estimated payments
for FY 2008. However, our calculation
of the outlier threshold amount for a
given FY has no effect on the amount of
the standard payment conversion factor
for that FY. Therefore, we disagree that
the standard payment conversion factor
was too low in FYs 2006 and 2007.
Comment: One commenter requested
that CMS provide additional data and
information to the public to allow the
IRF industry and external researchers to
conduct a more thorough review of
CMS’s proposed updates to the outlier
threshold amount. Specifically, the
commenter asked that we provide
information on IRF charges and CCRs, a
discussion of the data sources and time
periods used in computing the outlier
threshold, an IRF Medpar file (including
total payments, outlier payments, and
actual, estimated, and proposed CMGs),
historical information on IRF facilitylevel payment factors (specifically
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CCRs), and actual levels and
percentages of outlier payments.
Response: We will carefully consider
all of the commenter’s suggestions in
updating the IRF rate setting files that
we post on the IRF PPS Web site in
conjunction with each IRF PPS
proposed and final rule. These files are
available for download from the IRF
PPS Web site at https://
www.cms.hhs.gov/
InpatientRehabFacPPS/
07_DataFiles.asp. These files already
contain much of the facility-level
payment data requested by the
commenter, including the CCRs used to
compute the IRF outlier threshold
amount. For this final rule, we used FY
2006 IRF claims data, merged with FY
2006 IRF–PAI data, to conduct patientlevel payment simulations to estimate
the outlier threshold amount for FY
2008. This data file contains
information that can be used to identify
individual Medicare beneficiaries and is
therefore not publicly available. We
obtained the provider-level CCR data
used in this analysis from the ProviderSpecific Files, which contain historical
CCR data and are available for
download from the CMS Web site at
https://www.cms.hhs.gov/
ProspMedicareFeeSvcPmtGen/
03_psf.asp.
The modified Medpar data files that
CMS provides to IPPS hospitals already
contain IRF stay data. However, we have
recently discovered that these files do
not include the CMGs, and we recognize
that there may be other limitations to
the usefulness of these files for
analyzing IRF payments. Based on the
commenter’s request, we will carefully
consider the usefulness and feasibility
of including additional variables on the
Medpar file in the future to facilitate IRF
analyses.
Comment: One commenter
recommended that CMS consider
placing a 10 percent upper limit on the
amount of an IRF’s outlier payments (as
a percentage of total payments) to
encourage IRFs to strengthen their
management of cases that might become
high-cost outlier cases. In addition, the
commenter requested that CMS
incorporate any unused funds from the
3 percent IRF outlier pool back into the
IRF base rate to increase payments for
all IRF discharges.
Response: We appreciate the
commenter’s suggestion to place a cap
on an IRF’s outlier payments, and will
consider this approach in the future as
we work to eliminate potential
vulnerabilities in the IRF outlier
payment policy. However, at this time,
we believe that a better approach to
mitigating the vulnerabilities in the IRF
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outlier payment methodology is to
increase the accuracy of the IRF outlier
payments. As discussed previously in
section VII.C of this final rule, we will
soon be issuing instructions to fiscal
intermediaries to begin reconciling the
IRF CCRs upon settlement of the cost
reports. We believe that using the actual
CCR computed from an IRF’s cost report
at the time the cost report is settled,
rather than an older CCR, to compute
the outlier payments on the discharges
that coincide with that cost report will
improve the accuracy of the outlier
payment calculations. We expect that
much of the variation in outlier
payments (as a percentage of total
payments) among IRFs will be reduced
by this approach, because it will limit
IRFs’ ability to increase their outlier
payments by increasing their charges.
As discussed in the August 7, 2001
final rule (66 FR 41316, 41362 through
41363), we believe that setting estimated
outlier payments equal to 3 percent of
total estimated payments effectively
balances the need to encourage IRFs to
continue admitting potential high-cost
outlier cases, while simultaneously
ensuring that adequate funds are
available to reimburse IRFs for treating
the non-high-cost outlier cases. As we
discussed in response to comments that
we received on the FY 2006 IRF PPS
rule and other PPS rules, we do not
make adjustments to IRF PPS payment
rates to account for differences between
the 3 percent target and actual outlier
payments. (See 70 FR 47936 for the IRF
PPS response and a list of the FRs
addressing this issue for other PPS
systems.) If outlier payments for a given
year are higher than 3 percent, we do
not recoup money from IRFs. Similarly,
if outlier payments in a given year are
below 3 percent, we do not increase IRF
PPS payments to account for this. We
believe that this policy is consistent
with the statute and with the goals of
the prospective payment systems.
Comment: Two commenters
supported CMS’s plan to instruct fiscal
intermediaries to begin reconciling IRF
outlier payments, in certain instances,
upon settlement of the IRF cost reports.
However, both commenters
recommended that CMS limit the
administrative burden of these reviews
by conducting reconciliation on only
those IRF providers whose outlier
payments and cost-to-charge ratio
fluctuations exceed certain thresholds,
similar to the process for IPPS hospitals.
Specifically, one commenter
recommended that CMS structure the
IRF outlier reconciliation policy so that
it is similar to the reconciliation policies
for IPPS and long-term care hospitals. In
addition, one commenter suggested that
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CMS limit our reconciliation efforts to
discharges that occurred on or after
October 1, 2003, the effective date of
recent improvements to the
methodology for determining IRF outlier
payments.
Response: We agree with the
commenters that we should conduct
outlier reconciliation to address
vulnerabilities in IRF outlier payments,
and we also agree that we should apply
the outlier reconciliation policies used
in the IPPS and long-term care hospital
settings as closely as possible. To this
end, we have been working closely with
the CMS components that develop the
outlier reconciliation policies for these
facilities. We also agree that focusing
our outlier reconciliation efforts on
those IRFs whose outlier payments and
cost-to-charge ratio fluctuations exceed
certain thresholds, similar to the process
for IPPS hospitals, would limit the
administrative burden of the
reconciliation process. We are in the
process now of determining the
appropriate thresholds to apply in the
IRF setting, and will carefully consider
the commenters’ recommendations in
this regard. We will issue the final
thresholds in our instructions to the
fiscal intermediaries. We will also
consider the commenter’s suggestions in
deciding which years to review for
outlier reconciliation.
Final Decision: Based on a careful
review of the comments that we
received on the proposed update to the
outlier threshold amount for FY 2008
and based on updated analysis of the FY
2006 data, we are finalizing our decision
to update the outlier threshold amount
for FY 2008 to $7,362. In addition, we
did not receive any comments on the
IRF cost-to-charge ratio ceilings and are
finalizing the national average urban
CCR at 0.476 and the national average
rural CCR at 0.596. We are also
finalizing our estimate of 3 standard
deviations above the corresponding
national geometric mean, at 1.56 for FY
2008.
VIII. Clarification to the Regulation
Text for Special Payment Provisions for
Patients That Are Transferred
Section 125(a)(3) of the BBRA
amended section 1886(j)(1) of the Act by
adding a paragraph (E) that states
‘‘Construction relating to transfer
authority—Nothing in this subsection
shall be construed as preventing the
Secretary from providing for an
adjustment to payments to take into
account the early transfer of a patient
from a rehabilitation facility to another
site of care.’’ In the FY 2002 proposed
and final IRF PPS rules, we proposed
and adopted the transfer payment policy
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under § 412.624(f). The transfer policy
provides payments that more accurately
reflect facility resources used and
services delivered for patients that
transfer to another site of care as
discussed in the FY 2002 IRF PPS final
rule (66 FR 41316, 41353 through
41355). We are revising our regulations
text to clarify our existing policy under
§ 412.624(f).
In the FY 2002 IRF PPS final rule (66
FR 41316, 41353 through 41355), we
discuss our rationale, criteria for
defining a transfer case, and the
methodology to determine the
unadjusted Federal prospective
payment for the transfer case. In
addition, we discuss several
adjustments that we apply to the
unadjusted Federal prospective
payment rate. The final adjustments
described in the FY 2002 IRF PPS final
rule (65 FR 66304, 66347 through
66357) include the area wage
adjustment, rural adjustment, the LIP
adjustment, and the high-cost outlier
adjustment. In our FY 2006 IRF PPS
final rule (70 FR 47880), we refined the
facility level adjustments and also
adopted a teaching status adjustment.
We define a ‘‘transfer’’ under
§ 412.602 to mean the release of a
Medicare inpatient from an IRF to
another IRF, a short-term, acute-care
prospective payment hospital, a longterm care hospital as described in
§ 412.23(e), or a nursing home that
qualifies to receive Medicare or
Medicaid payment. In order to receive a
transfer payment under § 412.624(f), a
patient must be transferred to another
site of care as defined in § 412.602 and
must have been admitted to the IRF for
less than the average length of stay for
the CMG. Table 1 in this final rule
presents the CMGs, the comorbidity
tiers, the corresponding relative
weights, and the average length of stay
value for each CMG and tier. We use the
average length of stay for each CMG to
determine when an IRF discharge meets
the definition of a transfer, which
results in a per diem case level
adjustment.
Since the implementation of the IRF
PPS, a claim meets the high-cost outlier
policy under § 412.624(e)(5), as revised
in the FY 2007 IRF PPS final rule (71
FR 48354, 48382 through 48383), if the
estimated cost of the case exceeds the
adjusted outlier threshold. For a case
that qualifies, we make an outlier
payment equal to 80 percent of the
difference between the estimated cost of
the case and the outlier threshold. Since
the implementation of the IRF PPS, we
have provided an additional high-cost
outlier payment to both transfer cases
and full CMG cases when applicable.
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We proposed to clarify the regulations
text to articulate the transfer policy
more clearly. Specifically, we proposed
to add the phrase ‘‘subject to paragraph
(e)(5)’’ at the end of the paragraph under
§ 412.624(f)(2)(v). We proposed to revise
§ 412.624(f)(2)(v) to read, ‘‘[B]y applying
the adjustment described in paragraphs
(e)(1), (e)(2), (e)(3), (e)(4), and (e)(7) of
this section to the unadjusted payment
amount determined in paragraph
(f)(2)(iv) of this section to equal the
adjusted transfer payment amount,
subject to paragraph (e)(5).’’
We received a couple comments on
the proposed clarification to the
regulation text for special payment
provisions for patients that are
transferred, which are summarized
below.
Comment: We received a comment
supporting the revisions to the
clarification to the regulation text for
special payment provisions for patients
that are transferred described above.
Another commenter requested
additional clarification to better
understand the intent of the revision to
the regulation text.
Response: In the past, we have
received questions from the public
about whether an outlier payment
applies to cases that are transferred to
another site of care as defined in
§ 412.602. As discussed in detail above
in this section, we have provided an
additional high-cost outlier payment to
both transfer cases and full CMG cases
when applicable. We reviewed
§ 412.624(f) and believe that a minor
revision to the regulation text would
clarify the existing policy. As we
emphasized in the proposed rule, the
revision to the regulation text will not
change our current methodology for
determining whether a high-cost outlier
payment applies to transfer cases. Based
on the comment, we believe the
regulations text should be revised to
make more clear that we will apply a
high-cost outlier payment to a transfer
case based on the methodology set forth
in § 412.624(e)(5), which we use to
determine whether a high-cost outlier
payment. Therefore, we will add the
phrase to the end of § 412.624(f)(2)(v) to
read, ‘‘and making an outlier payment
in accordance with (e)(5), if applicable.’’
Final Decision: We are finalizing our
change to the regulations text at
§ 412.624(f)(2)(v) by revising the
paragraph to read, ‘‘[B]y applying the
adjustment described in paragraphs
(e)(1), (e)(2), (e)(3), (e)(4), and (e)(7) of
this section to the unadjusted payment
amount determined in paragraph
(f)(2)(iv) of this section to equal the
adjusted transfer payment amount and
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making an outlier payment in
accordance with (e)(5), if applicable.’’
IX. Miscellaneous Comments
Comment: One commenter requested
that CMS work to define more precisely
the requirements for other post acute
care providers, such as skilled nursing
facilities and long-term care hospitals
that also provide rehabilitation services.
Response: Because this comment
concerns the establishment of
regulations for other Medicare postacute care settings, the comment is
outside the scope of this final rule.
However, in the IRF PPS final rule for
FY 2007 (71 FR 48354), we described
our plans to explore refinements to the
existing provider-oriented ‘‘silos’’ to
create a more seamless system for
payment and delivery of post-acute care
(PAC) under Medicare. We expect that
this new model will be characterized by
more consistent payments for the same
type of care across different sites of
service, quality driven pay-forperformance incentives, and collection
of uniform clinical assessment
information to support quality and
discharge planning functions. In the IRF
PPS final rule for FY 2007 (71 FR
48354), we described how section 5008
of the DRA provides for a demonstration
on uniform assessment and data
collection across different sites of
service. We are developing a standard,
comprehensive assessment instrument
to be completed at hospital discharge for
use in the demonstration, which we
expect to begin in 2008. We expect that
the demonstration will enable us to test
the usefulness of this instrument, and
analyze cost and outcomes across
different PAC sites.
Comment: A few commenters
recommended that CMS implement
additional refinements to the IRF PPS
using more recent data that reflect
changes in IRF case mix and volume
occurring in response to the 75 percent
rule compliance criteria and medical
necessity reviews. Specifically, one
commenter recommended changes to
the IRF facility-level adjustments,
including suggested revisions to CMS’s
methodology for determining the
amount of the adjustments. A few
commenters also suggested that CMS
work with the IRF industry and
researchers to develop an analytical
framework for analyzing future payment
adjustments to account for coding
changes that do not reflect real changes
in IRFs’ case mix.
Response: Since we did not propose
any additional refinements to the IRF
PPS for FY 2008, these comments are
outside the scope of this final rule.
However, we are currently analyzing the
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FY 2006 data to determine whether any
future revisions to the IRF PPS,
including revisions to the facility-level
adjustments and coding adjustments,
would be appropriate. In conducting our
analyses, we will carefully consider the
suggestions offered by the commenters
and will explore any new analytical
frameworks that may be useful for
developing future refinements.
X. Provisions of the Final Regulations
In this final rule we are adopting the
provisions as set forth in the May 8,
2007 proposed rule (72 FR 26230)
except as noted elsewhere in the
preamble with the following revisions:
• We will update the pre-reclassified
and pre-floor wage indexes based on the
CBSA changes published in the most
recent OMB bulletins that apply to the
hospital wage data used to determine
the current IRF PPS wage index, as
discussed in section VI.B.
• We will revise the wage index
policy for rural areas without hospital
wage data by imputing an average wage
index from all contiguous CBSAs to
represent a reasonable proxy for the
rural area within a State, as discussed in
section VI.B of this final rule.
• We are updating the FY 2008 IRF
PPS payment rates by the market basket
(3.2 percent), as discussed in section
VI.A of this final rule.
• We are updating the FY 2008 IRF
PPS payment rates by the labor-related
share (75.818 percent), the wage
indexes, and the final year of the hold
harmless policy in a budget neutral
manner, as discussed in sections VI of
this final rule.
• We are updating the outlier
threshold amount for FY 2008 to $7,362,
as discussed in section VII.A in this
final rule.
• We are updating the urban and
rural national cost-to-charge ratio
ceilings for purposes of determining
outlier payments under the IRF PPS, as
discussed in section VII.B in this final
rule.
• We are maintaining the comorbidity
policy specified in § 412.23(b)(2).
Therefore, for cost reporting periods
beginning on or after July 1, 2007, and
before July 1, 2008, the compliance
threshold remains 65 percent and we
will continue to include comorbidities
when calculating the compliance
percentage. However, for cost reporting
periods beginning on or after July 1,
2008, the compliance threshold will
increase to 75 percent, but the
comorbidities will not be used to
determine if a provider met the 75
percent of the compliance threshold.
• We are revising the regulation text
at § 412.624(f)(2)(v) to clarify that we
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determine whether a high-cost outlier
payment would be applicable for
transfer cases.
XI. Collection of Information
Requirements
This document does not impose
information collection and
recordkeeping requirements.
Consequently, it need not be reviewed
by the Office of Management and
Budget under the authority of the
Paperwork Reduction Act of 1995.
XII. Regulatory Impact Analysis
A. Overall Impact
We have examined the impacts of this
final rule as required by Executive
Order 12866 (September 1993,
Regulatory Planning and Review), the
Regulatory Flexibility Act (RFA,
September 16, 1980, Pub. L. 96–354),
section 1102(b) of the Social Security
Act, the Unfunded Mandates Reform
Act of 1995 (Pub. L. 104–4), and
Executive Order 13132.
Executive Order 12866 (as amended
by Executive Order 13258, which
merely reassigns responsibility of
duties) directs agencies to assess all
costs and benefits of available regulatory
alternatives and, if regulation is
necessary, to select regulatory
approaches that maximize net benefits
(including potential economic,
environmental, public health and safety
effects, distributive impacts, and
equity). A regulatory impact analysis
(RIA) must be prepared for major rules
with economically significant effects
($100 million or more in any one year).
This final rule is a major rule, as defined
in Title 5, United States Code, section
804(2), because we estimate the impact
to the Medicare program, and the
annual effects to the overall economy,
will be more than $100 million. We
estimate that the total impact of these
changes for estimated FY 2008
payments compared to estimated FY
2007 payments will be an increase of
approximately $150 million (this
reflects a $195 million increase from the
update to the payment rates and a $45
million decrease due to the update to
the outlier threshold amount to decrease
estimated outlier payments from
approximately 3.7 percent in FY 2007 to
3 percent in FY 2008).
The RFA requires agencies to analyze
options for regulatory relief of small
entities. For purposes of the RFA, small
entities include small businesses,
nonprofit organizations, and
government jurisdictions. Most IRFs and
most other providers and suppliers are
considered small entities, either by
nonprofit status or by having revenues
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of $6 million to $29 million in any one
year. (For details, see the Small
Business Administration’s final rule that
set forth size standards for health care
industries, at 65 FR 69432, November
17, 2000.) Because we lack data on
individual hospital receipts, we cannot
determine the number of small
proprietary IRFs or the proportion of
IRFs’ revenue that is derived from
Medicare payments. Therefore, we
assume that all IRFs (an approximate
total of 1,200 IRFs, of which
approximately 60 percent are nonprofit
facilities) are considered small entities
and that Medicare payment constitutes
the majority of their revenues. The
Department of Health and Human
Services generally uses a revenue
impact of 3 to 5 percent as a significance
threshold under the RFA. As shown in
Table 6, we estimate that the net
revenue impact of this final rule on all
IRFs is to increase estimated payments
by about 2.4 percent, with an estimated
increase in payments of 3 percent or
higher for some categories of IRFs (such
as urban IRFs in the Mountain region
and rural IRFs in the Middle Atlantic
and East South Central regions). Thus,
we anticipate that this final rule may
have a significant impact on a
substantial number of small entities.
However, the estimated impact of this
final rule is a net increase in revenues
across all categories of IRFs, so we
believe that this final rule will not
impose a significant burden on small
entities. Medicare fiscal intermediaries
and carriers are not considered to be
small entities. Individuals and States are
not included in the definition of a small
entity.
In addition, section 1102(b) of the Act
requires us to prepare a regulatory
impact analysis if a rule may have a
significant impact on the operations of
a substantial number of small rural
hospitals. This analysis must conform to
the provisions of section 604 of the
RFA. For purposes of section 1102(b) of
the Act, we define a small rural hospital
as a hospital that is located outside of
a Metropolitan Statistical Area and has
fewer than 100 beds. As discussed in
detail below, the rates and policies set
forth in this final rule will not have an
adverse impact on rural hospitals based
on the data of the 198 rural units and
20 rural hospitals in our database of
1,220 IRFs for which data were
available.
Section 202 of the Unfunded
Mandates Reform Act of 1995 (Pub. L.
104–4) also requires that agencies assess
anticipated costs and benefits before
issuing any rule whose mandates
require spending in any one year of
$100 million in 1995, updated annually
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for inflation. That threshold level is
currently approximately $120 million.
This final rule will not mandate any
requirements for State, local, or tribal
governments, nor will it affect private
sector costs.
Executive Order 13132 establishes
certain requirements that an agency
must meet when it promulgates a final
rule that imposes substantial direct
requirement costs on State and local
governments, preempts State law, or
otherwise has Federalism implications.
As stated above, this final rule will not
have a substantial effect on State and
local governments.
ebenthall on PROD1PC71 with RULES2
B. Anticipated Effects of the Final Rule
We discuss below the impacts of this
final rule on the budget and on IRFs.
1. Basis and Methodology of Estimates
This final rule sets forth updates of
the IRF PPS rates contained in the FY
2007 final rule, updates the outlier
threshold for high-cost cases, and
establishes an adjustment to the wage
index methodology.
Based on the above, we estimate that
the FY 2008 impact will be a net
increase of $150 million in payments to
IRF providers (this reflects a $195
million estimated increase from the
update to the payment rates and a $45
million estimated decrease due to the
update to the outlier threshold amount
to decrease the estimated outlier
payments from approximately 3.7
percent in FY 2007 to 3 percent in FY
2008). The impact analysis in Table 6 of
this final rule represents the projected
effects of the policy changes in the IRF
PPS for FY 2008 compared with
estimated IRF PPS payments in FY 2007
without the policy changes. We estimate
the effects by estimating payments
while holding all other payment
variables constant. We use the best data
available, but we do not attempt to
predict behavioral responses to these
changes, and we do not make
adjustments for future changes in such
variables as number of discharges or
case-mix.
We note that certain events may
combine to limit the scope or accuracy
of our impact analysis, because such an
analysis is future-oriented and, thus,
susceptible to forecasting errors because
of other changes in the forecasted
impact time period. Some examples
could be legislative changes made by
the Congress to the Medicare program
that will impact program funding, or
changes specifically related to IRFs. In
addition, changes to the Medicare
program may continue to be made as a
result of the BBA, the BBRA, the BIPA,
the MMA, the DRA, or new statutory
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17:54 Aug 06, 2007
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provisions. Although these changes may
not be specific to the IRF PPS, the
nature of the Medicare program is such
that the changes may interact, and the
complexity of the interaction of these
changes could make it difficult to
predict accurately the full scope of the
impact upon IRFs.
In updating the rates for FY 2008, we
are implementing a number of standard
annual revisions and clarifications
mentioned elsewhere in this final rule
(for example, the update to the wage
and market basket indexes used to
adjust the Federal rates). We estimate
that these revisions will increase
payments to IRFs by approximately
$195 million.
The aggregate change in estimated
payments associated with this final rule
is estimated to be an increase in
payments to IRFs of $150 million for FY
2008. The market basket increase of
$195 million and the $45 million
decrease due to the update to the outlier
threshold amount to decrease estimated
outlier payments from approximately
3.7 percent in FY 2007 to 3.0 percent in
FY 2008 will result in a net change in
estimated payments from FY 2007 to FY
2008 of $150 million.
The effects of the changes that affect
IRF PPS payment rates are shown in
Table 6. The following changes that
affect the IRF PPS payment rates are
discussed separately below:
• The effects of the update to the
outlier threshold amount to decrease
total estimated outlier payments from
approximately 3.7 to 3 percent of total
estimated payments for FY 2008,
consistent with section 1886(j)(4) of the
Act.
• The effects of the annual market
basket update (using the RPL market
basket) to IRF PPS payment rates, as
required by sections 1886(j)(3)(A)(i) and
1886(j)(3)(C) of the Act.
• The effects of applying the budget
neutral labor-related share and wage
index adjustment, including revisions to
our methodology for determining a
proxy for rural areas without hospital
wage data (as described in section VI of
this final rule), as required under
section 1886(j)(6) of the Act.
• The effects of the final year of the
3-year budget neutral hold-harmless
policy for IRFs that were rural under
§ 412.602 during FY 2005, but are urban
under § 412.602 beginning in FY 2006
and lose the rural adjustment, resulting
in a decrease in the estimated IRF PPS
payments if not for the hold harmless
policy.
• The total change in estimated
payments based on the FY 2008 policies
relative to estimated FY 2007 payments
without the policies.
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2. Description of Table 6
The table below categorizes IRFs by
geographic location, including urban or
rural location, and location with respect
to CMS’s nine census divisions (as
defined on the cost report) of the
country. In addition, the table divides
IRFs into those that are separate
rehabilitation hospitals (otherwise
called freestanding hospitals in this
section), those that are rehabilitation
units of a hospital (otherwise called
hospital units in this section), rural or
urban facilities, ownership (otherwise
called for-profit, non-profit, and
government), and by teaching status.
The top row of the table shows the
overall impact on the 1,220 IRFs
included in the analysis.
The next 12 rows of Table 6 contain
IRFs categorized according to their
geographic location, designation as
either a freestanding hospital or a unit
of a hospital, and by type of ownership;
all urban, which is further divided into
urban units of a hospital, urban
freestanding hospitals, and by type of
ownership; and all rural, which is
further divided into rural units of a
hospital, rural freestanding hospitals,
and by type of ownership. There are
1,002 IRFs located in urban areas
included in our analysis. Among these,
there are 806 IRF units of hospitals
located in urban areas and 196
freestanding IRF hospitals located in
urban areas. There are 218 IRFs located
in rural areas included in our analysis.
Among these, there are 198 IRF units of
hospitals located in rural areas and 20
freestanding IRF hospitals located in
rural areas. There are 406 for-profit
IRFs. Among these, there are 328 IRFs
in urban areas and 78 IRFs in rural
areas. There are 745 non-profit IRFs.
Among these, there are 622 urban IRFs
and 123 rural IRFs. There are 69
government-owned IRFs. Among these,
there are 52 urban IRFs and 17 rural
IRFs.
The remaining three parts of Table 6
show IRFs grouped by their geographic
location within a region, and the last
part groups IRFs by teaching status.
First, IRFs located in urban areas are
categorized with respect to their
location within a particular one of the
nine CMS geographic regions. Second,
IRFs located in rural areas are
categorized with respect to their
location within a particular one of the
nine CMS geographic regions. In some
cases, especially for rural IRFs located
in the New England, Mountain, and
Pacific regions, the number of IRFs
represented is small. Finally, IRFs are
grouped by teaching status, including
non-teaching IRFs, IRFs with an intern
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
and resident to average daily census
(ADC) ratio less than 10 percent, IRFs
with an intern and resident to ADC ratio
greater than or equal to 10 percent and
less than or equal to 19 percent, and
IRFs with an intern and resident to ADC
ratio greater than 19 percent.
The estimated impact of each change
to the facility categories listed above are
shown in the columns of Table 6. The
description of each column is as
follows:
Column (1) shows the facility
classification categories described
above.
Column (2) shows the number of IRFs
in each category in our FY 2006 analysis
file.
Column (3) shows the number of
cases in each category in our FY 2006
analysis file.
Column (4) shows the estimated effect
of the adjustment to the outlier
threshold amount so that estimated
outlier payments decrease from
approximately 3.7 percent in FY 2007 to
3 percent of total estimated payments
for FY 2008.
Column (5) shows the estimated effect
of the market basket update to the IRF
PPS payment rates.
Column (6) shows the estimated effect
of the update to the IRF labor-related
share, wage index, and the final year of
the hold harmless policy, in a budget
neutral manner.
Column (7) compares our estimates of
the payments per discharge,
incorporating all of the changes
reflected in this final rule for FY 2008,
to our estimates of payments per
44309
discharge in FY 2007 (without these
changes).
The average estimated increase for all
IRFs is approximately 2.4 percent. This
estimated increase includes the effects
of the 3.2 percent market basket update.
It also includes the 0.7 percent overall
estimated decrease in estimated IRF
outlier payments from the update to the
outlier threshold amount. Because we
are making the remainder of the changes
outlined in this final rule in a budget
neutral manner, they will not affect total
estimated IRF payments in the
aggregate. However, as described in
more detail in each section, they will
affect the estimated distribution of
payments among providers.
TABLE 6.—PROJECTED IMPACT ON THE IRF PPS FOR FY 2008
Number of
IRFs in FY
2006
(2)
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Facility classification
(1)
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Jkt 211001
Outlier
(4)
(percent)
Market basket
(5)
(percent)
FY08 CBSA
wage index,
labor-related
share, and
hold harmless
(6)
(percent)
Total change
(7)
(percent)
1,220
806
198
196
20
328
78
622
123
52
17
1,002
218
¥0.7
¥1.0
¥0.8
¥0.4
¥0.4
¥0.6
¥0.6
¥0.8
¥0.7
¥0.9
¥1.2
¥0.7
¥0.7
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
0
0.2
0.2
¥0.3
0.1
¥0.2
0.1
0.1
0.3
¥0.2
0.3
0.0
0.2
2.4
2.4
2.7
2.5
2.9
2.4
2.7
2.5
2.7
2.0
2.3
2.4
2.7
15,634
63,821
61,794
62,561
26,084
19,076
64,823
22,942
26,300
¥0.7
¥0.5
¥0.7
¥0.9
¥0.5
¥0.9
¥0.7
¥0.9
¥1.0
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
¥0.4
0.1
¥0.6
0.6
¥0.8
0.2
¥0.4
0.7
0.5
2.0
2.8
1.8
2.8
1.9
2.4
2.1
3.0
2.6
5
19
26
36
22
37
58
9
6
1,078
3,706
6,175
6,804
4,357
6,334
11,392
946
504
¥1.4
¥0.4
¥0.5
¥0.7
¥0.6
¥1.0
¥0.6
¥1.8
¥1.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
3.2
¥0.8
0.7
¥0.1
0.3
0.5
0.5
0.1
¥0.2
0.3
1.0
3.4
2.6
2.7
3.1
2.7
2.7
1.1
2.3
1,103
59
41
17
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404,331
225,170
35,612
137,865
5,684
137,349
14,824
210,708
23,686
14,978
2,786
363,035
41,296
32
155
134
195
53
72
180
75
106
Total .........................................................
Urban unit ................................................
Rural unit ..................................................
Urban hospital ..........................................
Rural hospital ...........................................
Urban For-Profit .......................................
Rural For-Profit ........................................
Urban Non-Profit ......................................
Rural Non-Profit .......................................
Urban Government ..................................
Rural Government ....................................
Urban .......................................................
Rural .........................................................
Urban by region:
Urban New England .........................
Urban Middle Atlantic .......................
Urban South Atlantic .........................
Urban East North Central .................
Urban East South Central ................
Urban West North Central ................
Urban West South Central ...............
Urban Mountain ................................
Urban Pacific ....................................
Rural by region:
Rural New England ...........................
Rural Middle Atlantic .........................
Rural South Atlantic ..........................
Rural East North Central ..................
Rural East South Central ..................
Rural West North Central .................
Rural West South Central .................
Rural Mountain .................................
Rural Pacific ......................................
Teaching Status:
Non-teaching .....................................
Resident to ADC less than 10% .......
Resident to ADC 10%–19% .............
Resident to ADC greater than 19% ..
VerDate Aug<31>2005
Number of
cases in FY
2006
(3)
352,896
32,718
15,597
3,120
¥0.8
¥0.6
¥0.6
¥0.7
3.2
3.2
3.2
3.2
0.0
0.1
0.1
0.1
2.4
2.9
2.7
2.8
Frm 00027
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3. Impact of the Update to the Outlier
Threshold Amount (Column 4, Table 6)
In the FY 2007 IRF PPS final rule (71
FR 48354), we used FY 2004 patientlevel claims data (the best, most
complete data available at that time) to
set the outlier threshold amount for FY
2007 so that estimated outlier payments
would equal 3 percent of total estimated
payments for FY 2007. For this final
rule, we are updating our analysis using
FY 2006 data. Using the updated FY
2006 data, we now estimate that IRF
outlier payments as a percentage of total
estimated payments for FY 2007
increased from 3 percent using the FY
2004 data to approximately 3.7 percent
using the updated FY 2006 data. Thus,
we are adjusting the outlier threshold
amount for FY 2008 to $7,362 to set
total estimated outlier payments equal
to 3 percent of total estimated payments
in FY 2008. The estimated change in
total payments between FY 2007 and FY
2008, therefore, includes a 0.7 percent
overall estimated decrease in payments
because the estimated outlier portion of
total payments is estimated to decrease
from approximately 3.7 percent to 3
percent.
The impact of this update (as shown
in column 4 of Table 6) is to decrease
estimated overall payments to IRFs by
0.7 percent. We do not estimate that any
group of IRFs would experience an
increase in payments from this update.
We estimate the largest decrease in
payments to be a 1.8 percent decrease in
estimated payments to rural IRFs in the
Mountain region.
4. Impact of the Market Basket Update
to the IRF PPS Payment Rates (Column
5, Table 6)
In column 5 of Table 6, we present the
estimated effects of the market basket
update to the IRF PPS payment rates. In
the aggregate, and across all hospital
groups, the update will result in a 3.2
percent increase in overall estimated
payments to IRFs.
ebenthall on PROD1PC71 with RULES2
5. Impact of the CBSA Wage Index,
Labor-Related Share, and the Hold
Harmless Policy for FY 2008 (Column 6,
Table 6)
In column 6 of Table 6, we present the
effects of the budget neutral update of
the wage index, labor-related share, and
the final year of the hold harmless
policy. In FY 2006, we provided a 1year blended wage index and a 3-year
phase out of the rural adjustment for
IRFs that changed designation because
of the change from MSAs to CBSAs
(referenced as the hold harmless policy).
We applied the blended wage index to
all IRFs and the hold harmless policy to
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17:54 Aug 06, 2007
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those IRFs that qualify, as described in
§ 412.624(e)(7), in order to mitigate the
impact of the change from the MSAbased labor area definitions to the
CBSA-based labor area definitions for
IRFs.
As discussed in the FY 2007 IRF PPS
final rule (71 FR 48345), the blended
wage index expired in FY 2007 and will
not be applied for discharges occurring
on or after October 1, 2006. In addition,
FY 2008 is the third and final year of the
hold harmless policy, and we are
continuing to apply this policy as
described in the FY 2006 final rule in
a budget neutral manner.
As discussed in this final rule, we are
revising our methodology to impute a
rural wage index value for rural areas
without hospital wage data and update
the wage index based on the CBSAbased labor market area definitions in a
budget neutral manner. We are also
applying the third and final year of the
hold harmless policy in a budget neutral
manner. Thus, in the aggregate, the
estimated impact of the update to the
wage index and labor-related share is
zero percent.
In the aggregate and for all urban
IRFs, we do not estimate that these
changes will affect overall estimated
payments to IRFs. However, we estimate
that these changes will have small
distributional effects. We estimate a 0.2
percent increase in estimated payments
to rural IRFs. We estimate the largest
increase in payments to be a 0.7 percent
increase for urban IRFs in the Mountain
region and for rural IRFs in the Middle
Atlantic region. We estimate the largest
decrease in payments to be a 0.8 percent
decrease for urban IRFs in the East
South Central region and for rural IRFs
in the New England region.
C. Anticipated Effects of the 75 Percent
Rule Policy
The existing policy for classifying a
facility as an IRF, on the basis of its
meeting the compliance threshold,
which is described in § 412.23(b)(2),
allows the inclusion of comorbidities
meeting certain requirements in the
calculations used to determine the
compliance percentage for cost
reporting periods beginning on or after
July 1, 2004, and before July 1, 2008.
However, for cost reporting periods
beginning on or after July 1, 2008, the
existing regulations indicate that
comorbidities will not be eligible for
inclusion in the calculations used to
determine whether the provider meets
the 75 percent compliance threshold. As
discussed in section IV of this final rule,
we are not changing the existing policy.
On or after July 1, 2008, we anticipate
that IRFs will make adjustments to their
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Frm 00028
Fmt 4701
Sfmt 4700
admission and coding practices to
continue to meet the compliance
threshold. Data limitations and two
important sources of uncertainty
prevent a precise estimate of the effect
of this policy at this time. One source
of uncertainty is what proportion of
patients who would no longer be treated
in IRFs would instead be treated by
other, lower-cost post-acute care settings
such as skilled nursing facilities or
home health agencies. Another source of
uncertainty is determining how
providers will make adjustments on or
after July 1, 2008. While we cannot
make a precise estimate at this time, we
anticipate modest decreases in Medicare
payments beginning on or after July 1,
2008.
D. Alternatives Considered
Because we have determined that this
final rule will have a significant
economic impact on IRFs and on a
substantial number of small entities, we
will discuss alternative changes to the
IRF PPS that we considered.
Section 1886(j)(3)(C) of the Act
requires the Secretary to update the IRF
PPS payment rates by an increase factor
that reflects changes over time in the
prices of an appropriate mix of goods
and services included in the covered
IRF services. As discussed above, we
estimate the RPL market basket increase
factor for FY 2008 to be 3.2 percent.
This increase factor represents the
majority of the impact on IRF providers
shown in Table 6. Thus, we believe this
estimated net increase in payments
across all categories of IRFs represents
a benefit to IRF providers and, thus, to
IRFs that are small entities.
We considered maintaining the
existing outlier threshold amount for FY
2008 because updating the outlier
threshold amount has an estimated
negative impact on IRF providers and,
therefore, on small entities. If we were
to maintain the FY 2007 outlier
threshold amount, more outlier cases
would have qualified for the additional
outlier payments in FY 2008. However,
analysis of updated FY 2006 data
indicates that estimated outlier
payments would not equal 3 percent of
total estimated payments for FY 2008
unless we updated the outlier threshold
amount. Also, we estimate that the
overall effect of this policy on estimated
payments to IRFs is small (less than 1
percent).
We considered two other options
regarding the use of comorbidities in
determining compliance with the 75
percent rule, in addition to the one that
we are finalizing to maintain the
existing policy regarding use of the
comorbidities. First, we considered
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ebenthall on PROD1PC71 with RULES2
retaining the use of the comorbidities
for one additional year, for cost
reporting periods beginning before July
1, 2009. We considered this option in
order to extend the phase in of the 75
percent rule for one additional year and
to separate the increase in the
compliance percentage (to 75 percent)
from the expiration of the use of
comorbidities. However, providers have
already had 4 years to adjust their casemixes and adapt their operations in
order to comply with the 75 percent
rule.
The second alternative option that we
considered was to continue the use of
the comorbidities in determining
compliance with the 75 percent rule on
a permanent basis. However, we believe
that, in the absence of sound clinical
data, it would be premature to convert
a temporary transition policy into a
permanent part of the compliance
requirements. Thus, we believe that
continuing the existing policy, which
expires the use of comorbidities in
determining compliance with the 75
percent rule for cost reporting periods
beginning on or after July 1, 2008, is the
best approach.
compared with those in FY 2007, as
reflected in column 7 of Table 6. We
estimate that IRFs in urban areas will
experience a 2.4 percent increase in
estimated payments per discharge
compared with FY 2007. We estimate
that IRFs in rural areas will experience
a 2.7 percent increase in estimated
payments per discharge compared with
FY 2007. We estimate that rehabilitation
units in urban areas will experience a
2.4 percent increase in estimated
payments per discharge and that
freestanding rehabilitation hospitals in
urban areas will experience a 2.5
percent increase in estimated payments
per discharge. We estimate that
rehabilitation units in rural areas will
experience a 2.7 percent increase in
estimated payments per discharge,
while freestanding rehabilitation
hospitals in rural areas will experience
a 2.9 percent increase in estimated
payments per discharge.
Overall, we estimate that the largest
payment increase will be 3.4 percent
among rural IRFs in the Middle Atlantic
region. We do not estimate that any
group of IRFs will experience an overall
decrease in payments from the changes
in this final rule.
E. Accounting Statement
Comment: One commenter expressed
concerns about the total number of IRFs
As required by OMB Circular A–4
(Column 2, Table 6) and the total
(available at https://
number of IRF discharges (Column 3,
www.whitehouse.gov/omb/circulars/
Table 6) reflected in table 6 of the
a004/a-4.pdf), in Table 7 below, we
proposed rule. The commenter noted
have prepared an accounting statement
that a recent report released by CMS on
showing the classification of the
June 8, 2007 projected an estimated
expenditures associated with the
number of IRF discharges of
provisions of this final rule. This table
approximately 412,000 in 2006, whereas
provides our best estimate of the
table 6 of the proposed rule shows
increase in Medicare payments under
427,419 IRF discharges in the FY 2005
the IRF PPS as a result of the changes
presented in this final rule based on the claims data. The commenter questioned
why CMS based its impact analysis on
data for 1,220 IRFs in our database. All
the higher number of discharges rather
estimated expenditures are classified as
than the more recent, lower number.
transfers to Medicare providers (that is,
Response: For the proposed rule, we
IRFs).
analyzed the most current and complete
IRF claims data available at that time,
TABLE 7.—ACCOUNTING STATEMENT: FY 2005, to estimate the impact of the
CLASSIFICATION OF ESTIMATED EX- proposed policies. The FY 2005 claims
PENDITURES, FROM THE 2007 IRF data show that there were 427,419
PPS RATE YEAR TO THE 2008 IRF Medicare discharges from IRFs in that
year. However, we have updated our
PPS RATE YEAR
analysis for this final rule using FY 2006
[In millions]
IRF claims data. This data show that
there were 404,331 Medicare discharges
Category
Transfers
from IRFs in FY 2006. Note that both of
Annualized Monetized $150 million.
these numbers were calculated on a FY
Transfers.
basis, whereas the 412,000 Medicare
From Whom To
Federal Government
discharges reported in the June 8, 2007
Whom?
to IRF Medicare
report were estimated on a calendar year
Providers.
basis.
As discussed above, we use the best
F. Conclusion (Column 7, Table 6)
data available in estimating the impact
Overall, the estimated payments per
of the policies contained in this final
discharge for IRFs in FY 2008 are
rule, but we do not attempt to predict
projected to increase by 2.4 percent,
behavioral responses to these changes
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Sfmt 4700
44311
and we do not make adjustments for
future changes in such variables as
number of discharges or case-mix. Thus,
the number of Medicare discharges
reflected in table 6 represents the actual
number of discharges for which we have
IRF claims in the FY 2006 data, and we
have not attempted to predict how many
discharges would be expected to occur
in FY 2008.
We are confident that the impact
analysis, based on FY 2006 data,
provides our best estimate of the
payment impact of the policies
contained in this final rule.
Comment: One commenter requested
that CMS provide additional
information, including detailed
payment information, to allow
interested parties to recreate CMS’s
impact table, make projections on a
facility-level basis, and review the
proposed policies in more detail.
Response: We will carefully consider
the commenter’s suggestions in
updating the IRF PPS rate setting files
that we post in conjunction with each
IRF PPS proposed and final rule. These
files are available for download from the
IRF PPS Web site at https://
www.cms.hhs.gov/
InpatientRehabFacPPS/07_DataFiles.
asp. Some of the payment information
that the commenter requested is already
contained in these files, and we will
consider the possibility of adding
additional information to the file.
We believe the public should have as
much information as possible to be able
to review our proposed policies and
evaluate the impacts of these policies.
However, to recreate the detailed
payment simulations used in preparing
the impact analysis, the public would
need detailed patient-level data, such as
claims and IRF–PAI data. Some of these
data files are available to the public
through CMS’s standard data
distribution systems. More information
on CMS’s data distribution policies is
available on CMS’s Web site at https://
www.cms.hhs.gov/researchers/
statsdata.asp.
We will continue to work with
researchers and with industry groups to
determine the best ways of providing
data that will be useful in reviewing and
analyzing our IRF PPS payment
policies.
In accordance with the provisions of
Executive Order 12866, this regulation
was reviewed by the Office of
Management and Budget.
List of Subjects in 42 CFR Part 412
Administrative practice and
procedure, Health facilities, Medicare,
Puerto Rico, Reporting and
recordkeeping requirements.
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
For the reasons set forth in the
preamble, the Centers for Medicare &
Medicaid Services amends 42 CFR
chapter IV as follows:
I
PART 412—PROSPECTIVE PAYMENT
SYSTEMS FOR INPATIENT HOSPITAL
SERVICES
1. The authority citation for part 412
continues to read as follows:
I
Authority: Secs. 1102 and 1871 of the
Social Security Act (42 U.S.C. 1302 and
1395hh).
Subpart P—Prospective Payment for
Inpatient Rehabilitation Hospitals and
Rehabilitation Units
2. Section 412.624 is amended by
revising paragraph (f)(2)(v) to read as
follows:
I
§ 412.624 Methodology for calculating the
Federal prospective payment rates.
*
*
*
(f) * * *
*
*
(2) * * *
(v) By applying the adjustment
described in paragraphs (e)(1), (e)(2),
(e)(3), (e)(4), and (e)(7) of this section to
the unadjusted payment amount
determined in paragraph (f)(2)(iv) of this
section to equal the adjusted transfer
payment amount and making a payment
in accordance with paragraph (e)(5) of
this section, if applicable.
(Catalog of Federal Domestic Assistance
Program No. 93.773, Medicare—Hospital
Insurance; and Program No. 93.774,
Medicare—Supplemental Medical Insurance
Program)
Dated: July 18, 2007.
Leslie V. Norwalk,
Acting Administrator, Centers for Medicare
& Medicaid Services.
Approved: July 24, 2007.
Michael O. Leavitt,
Secretary.
Addendum
This addendum contains the tables
referred to throughout the preamble of
this final rule. The tables presented
below are as follows:
Table 1.—Inpatient Rehabilitation
Facility Wage Index for Urban Areas
for Discharges Occurring From
October 1, 2007 Through September
30, 2008
Table 2.—Inpatient Rehabilitation
Facility Wage Index for Rural Areas
for Discharges Occurring From
October 1, 2007 Through September
30, 2008
The following addendum will not
appear in the Code of Federal
Regulations.
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008
CBSA
code
Urban area
(constituent counties)
Wage
index
10180 .......
Abilene, TX ................................................................................................................................................................................
Callahan County, TX.
Jones County, TX.
Taylor County, TX.
´
Aguadilla-Isabela-San Sebastian, PR .......................................................................................................................................
Aguada Municipio, PR.
Aguadilla Municipio, PR.
˜
Anasco Municipio, PR.
Isabela Municipio, PR.
Lares Municipio, PR.
Moca Municipio, PR.
´
Rincon Municipio, PR.
´
San Sebastian Municipio, PR.
Akron, OH ..................................................................................................................................................................................
Portage County, OH.
Summit County, OH.
Albany, GA ................................................................................................................................................................................
Baker County, GA.
Dougherty County, GA.
Lee County, GA.
Terrell County, GA.
Worth County, GA.
Albany-Schenectady-Troy, NY ..................................................................................................................................................
Albany County, NY.
Rensselaer County, NY.
Saratoga County, NY.
Schenectady County, NY.
Schoharie County, NY.
Albuquerque, NM ......................................................................................................................................................................
Bernalillo County, NM.
Sandoval County, NM.
Torrance County, NM.
Valencia County, NM.
Alexandria, LA ...........................................................................................................................................................................
Grant Parish, LA.
Rapides Parish, LA.
Allentown-Bethlehem-Easton, PA-NJ ........................................................................................................................................
Warren County, NJ.
Carbon County, PA.
Lehigh County, PA.
Northampton County, PA.
0.8000
10380 .......
10420 .......
10500 .......
10580 .......
10740 .......
ebenthall on PROD1PC71 with RULES2
10780 .......
10900 .......
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0.8654
0.8991
0.8720
0.9458
0.8006
0.9947
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
Urban area
(constituent counties)
Wage
index
11020 .......
Altoona, PA ...............................................................................................................................................................................
Blair County, PA.
Amarillo, TX ...............................................................................................................................................................................
Armstrong County, TX.
Carson County, TX.
Potter County, TX.
Randall County, TX.
Ames, IA ....................................................................................................................................................................................
Story County, IA.
Anchorage, AK ..........................................................................................................................................................................
Anchorage Municipality, AK.
Matanuska-Susitna Borough, AK.
Anderson, IN .............................................................................................................................................................................
Madison County, IN.
Anderson, SC ............................................................................................................................................................................
Anderson County, SC.
Ann Arbor, MI ............................................................................................................................................................................
Washtenaw County, MI.
Anniston-Oxford, AL ..................................................................................................................................................................
Calhoun County, AL.
Appleton, WI ..............................................................................................................................................................................
Calumet County, WI.
Outagamie County, WI.
Asheville, NC .............................................................................................................................................................................
Buncombe County, NC.
Haywood County, NC.
Henderson County, NC.
Madison County, NC.
Athens-Clarke County, GA ........................................................................................................................................................
Clarke County, GA.
Madison County, GA.
Oconee County, GA.
Oglethorpe County, GA.
Atlanta-Sandy Springs-Marietta, GA .........................................................................................................................................
Barrow County, GA.
Bartow County, GA.
Butts County, GA.
Carroll County, GA.
Cherokee County, GA.
Clayton County, GA.
Cobb County, GA.
Coweta County, GA.
Dawson County, GA.
DeKalb County, GA.
Douglas County, GA.
Fayette County, GA.
Forsyth County, GA.
Fulton County, GA.
Gwinnett County, GA.
Haralson County, GA.
Heard County, GA.
Henry County, GA.
Jasper County, GA.
Lamar County, GA.
Meriwether County, GA.
Newton County, GA.
Paulding County, GA.
Pickens County, GA.
Pike County, GA.
Rockdale County, GA.
Spalding County, GA.
Walton County, GA.
Atlantic City, NJ .........................................................................................................................................................................
Atlantic County, NJ.
Auburn-Opelika, AL ...................................................................................................................................................................
Lee County, AL.
Augusta-Richmond County, GA-SC ..........................................................................................................................................
Burke County, GA.
Columbia County, GA.
McDuffie County, GA.
0.8812
11100 .......
11180 .......
11260 .......
11300 .......
11340 .......
11460 .......
11500 .......
11540 .......
11700 .......
12020 .......
12060 .......
ebenthall on PROD1PC71 with RULES2
12100 .......
12220 .......
12260 .......
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0.9169
0.9760
1.2023
0.8681
0.9017
1.0826
0.7770
0.9455
0.9216
0.9856
0.9762
1.1831
0.8096
0.9667
44314
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
12420 .......
12540 .......
12580 .......
12620 .......
12700 .......
12940 .......
12980 .......
13020 .......
13140 .......
13380 .......
13460 .......
13644 .......
13740 .......
13780 .......
13820 .......
ebenthall on PROD1PC71 with RULES2
13900 .......
13980 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Richmond County, GA.
Aiken County, SC.
Edgefield County, SC.
Austin-Round Rock, TX .............................................................................................................................................................
Bastrop County, TX.
Caldwell County, TX.
Hays County, TX.
Travis County, TX.
Williamson County, TX.
Bakersfield, CA ..........................................................................................................................................................................
Kern County, CA.
Baltimore-Towson, MD ..............................................................................................................................................................
Anne Arundel County, MD.
Baltimore County, MD.
Carroll County, MD.
Harford County, MD.
Howard County, MD.
Queen Anne’s County, MD.
Baltimore City, MD.
Bangor, ME ...............................................................................................................................................................................
Penobscot County, ME.
Barnstable Town, MA ................................................................................................................................................................
Barnstable County, MA.
Baton Rouge, LA .......................................................................................................................................................................
Ascension Parish, LA.
East Baton Rouge Parish, LA.
East Feliciana Parish, LA.
Iberville Parish, LA.
Livingston Parish, LA.
Pointe Coupee Parish, LA.
St. Helena Parish, LA.
West Baton Rouge Parish, LA.
West Feliciana Parish, LA.
Battle Creek, MI ........................................................................................................................................................................
Calhoun County, MI.
Bay City, MI ...............................................................................................................................................................................
Bay County, MI.
Beaumont-Port Arthur, TX .........................................................................................................................................................
Hardin County, TX.
Jefferson County, TX.
Orange County, TX.
Bellingham, WA .........................................................................................................................................................................
Whatcom County, WA.
Bend, OR ...................................................................................................................................................................................
Deschutes County, OR.
Bethesda-Frederick-Gaithersburg, MD .....................................................................................................................................
Frederick County, MD.
Montgomery County, MD.
Billings, MT ................................................................................................................................................................................
Carbon County, MT.
Yellowstone County, MT.
Binghamton, NY ........................................................................................................................................................................
Broome County, NY.
Tioga County, NY.
Birmingham-Hoover, AL ............................................................................................................................................................
Bibb County, AL.
Blount County, AL.
Chilton County, AL.
Jefferson County, AL.
St. Clair County, AL.
Shelby County, AL.
Walker County, AL.
Bismarck, ND ............................................................................................................................................................................
Burleigh County, ND.
Morton County, ND.
Blacksburg-Christiansburg-Radford, VA ...................................................................................................................................
Giles County, VA.
Montgomery County, VA.
Pulaski County, VA.
Radford City, VA.
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0.9344
1.0725
1.0088
0.9711
1.2539
0.8084
0.9762
0.9251
0.8595
1.1104
1.0743
1.0903
0.8712
0.8786
0.8894
0.7240
0.8213
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
Urban area
(constituent counties)
Wage
index
14020 .......
Bloomington, IN .........................................................................................................................................................................
Greene County, IN.
Monroe County, IN.
Owen County, IN.
Bloomington-Normal, IL .............................................................................................................................................................
McLean County, IL.
Boise City-Nampa, ID ................................................................................................................................................................
Ada County, ID.
Boise County, ID.
Canyon County, ID.
Gem County, ID.
Owyhee County, ID.
Boston-Quincy, MA ...................................................................................................................................................................
Norfolk County, MA.
Plymouth County, MA.
Suffolk County, MA.
Boulder, CO ...............................................................................................................................................................................
Boulder County, CO.
Bowling Green, KY ....................................................................................................................................................................
Edmonson County, KY.
Warren County, KY.
Bremerton-Silverdale, WA .........................................................................................................................................................
Kitsap County, WA.
Fairfield County, CT ..................................................................................................................................................................
Bridgeport-Stamford-Norwalk, CT.
Brownsville-Harlingen, TX .........................................................................................................................................................
Cameron County, TX.
Brunswick, GA ...........................................................................................................................................................................
Brantley County, GA.
Glynn County, GA.
McIntosh County, GA.
Buffalo-Niagara Falls, NY ..........................................................................................................................................................
Erie County, NY.
Niagara County, NY.
Burlington, NC ...........................................................................................................................................................................
Alamance County, NC.
Burlington-South Burlington, VT ................................................................................................................................................
Chittenden County, VT.
Franklin County, VT.
Grand Isle County, VT.
Cambridge-Newton-Framingham, MA .......................................................................................................................................
Middlesex County, MA.
Camden, NJ ..............................................................................................................................................................................
Burlington County, NJ.
Camden County, NJ.
Gloucester County, NJ.
Canton-Massillon, OH ...............................................................................................................................................................
Carroll County, OH.
Stark County, OH.
Cape Coral-Fort Myers, FL .......................................................................................................................................................
Lee County, FL.
Carson City, NV ........................................................................................................................................................................
Carson City, NV.
Casper, WY ...............................................................................................................................................................................
Natrona County, WY.
Cedar Rapids, IA .......................................................................................................................................................................
Benton County, IA.
Jones County, IA.
Linn County, IA.
Champaign-Urbana, IL ..............................................................................................................................................................
Champaign County, IL.
Ford County, IL.
Piatt County, IL.
Charleston, WV .........................................................................................................................................................................
Boone County, WV.
Clay County, WV.
Kanawha County, WV.
Lincoln County, WV.
Putnam County, WV.
Charleston-North Charleston, SC .............................................................................................................................................
0.8533
14060 .......
14260 .......
14484 .......
14500 .......
14540 .......
14740 .......
14860 .......
15180 .......
15260 .......
15380 .......
15500 .......
15540 .......
15764 .......
15804 .......
15940 .......
15980 .......
16180 .......
16220 .......
16300 .......
ebenthall on PROD1PC71 with RULES2
16580 .......
16620 .......
16700 .......
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0.8944
0.9401
1.1679
1.0350
0.8148
1.0913
1.2659
0.9430
1.0164
0.9424
0.8674
0.9474
1.0970
1.0392
0.9031
0.9342
1.0025
0.9145
0.8888
0.9644
0.8542
0.9145
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
16740 .......
16820 .......
16860 .......
16940 .......
16974 .......
17020 .......
17140 .......
17300 .......
17420 .......
ebenthall on PROD1PC71 with RULES2
17460 .......
17660 .......
17780 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Berkeley County, SC.
Charleston County, SC.
Dorchester County, SC.
Charlotte-Gastonia-Concord, NC-SC ........................................................................................................................................
Anson County, NC.
Cabarrus County, NC.
Gaston County, NC.
Mecklenburg County, NC.
Union County, NC.
York County, SC.
Charlottesville, VA .....................................................................................................................................................................
Albemarle County, VA.
Fluvanna County, VA.
Greene County, VA.
Nelson County, VA.
Charlottesville City, VA.
Chattanooga, TN-GA .................................................................................................................................................................
Catoosa County, GA.
Dade County, GA.
Walker County, GA.
Hamilton County, TN.
Marion County, TN.
Sequatchie County, TN.
Cheyenne, WY ..........................................................................................................................................................................
Laramie County, WY.
Chicago-Naperville-Joliet, IL .....................................................................................................................................................
Cook County, IL.
DeKalb County, IL.
DuPage County, IL.
Grundy County, IL.
Kane County, IL.
Kendall County, IL.
McHenry County, IL.
Will County, IL.
Chico, CA ..................................................................................................................................................................................
Butte County, CA.
Cincinnati-Middletown, OH-KY-IN .............................................................................................................................................
Dearborn County, IN.
Franklin County, IN.
Ohio County, IN.
Boone County, KY.
Bracken County, KY.
Campbell County, KY.
Gallatin County, KY.
Grant County, KY.
Kenton County, KY.
Pendleton County, KY.
Brown County, OH.
Butler County, OH.
Clermont County, OH.
Hamilton County, OH.
Warren County, OH.
Clarksville, TN-KY .....................................................................................................................................................................
Christian County, KY.
Trigg County, KY.
Montgomery County, TN.
Stewart County, TN.
Cleveland, TN ............................................................................................................................................................................
Bradley County, TN.
Polk County, TN.
Cleveland-Elyria-Mentor, OH ....................................................................................................................................................
Cuyahoga County, OH.
Geauga County, OH.
Lake County, OH.
Lorain County, OH.
Medina County, OH.
Coeur d’Alene, ID ......................................................................................................................................................................
Kootenai County, ID.
College Station-Bryan, TX .........................................................................................................................................................
Brazos County, TX.
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1.0125
0.8948
0.9060
1.0751
1.1053
0.9601
0.8436
0.8109
0.9400
0.9344
0.9045
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
17820 .......
17860 .......
17900 .......
17980 .......
18020 .......
18140 .......
18580 .......
18700 .......
19060 .......
19124 .......
19140 .......
19180 .......
19260 .......
ebenthall on PROD1PC71 with RULES2
19340 .......
19380 .......
19460 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Burleson County, TX.
Robertson County, TX.
Colorado Springs, CO ...............................................................................................................................................................
El Paso County, CO.
Teller County, CO.
Columbia, MO ...........................................................................................................................................................................
Boone County, MO.
Howard County, MO.
Columbia, SC ............................................................................................................................................................................
Calhoun County, SC.
Fairfield County, SC.
Kershaw County, SC.
Lexington County, SC.
Richland County, SC.
Saluda County, SC.
Columbus, GA-AL .....................................................................................................................................................................
Russell County, AL.
Chattahoochee County, GA.
Harris County, GA.
Marion County, GA.
Muscogee County, GA.
Columbus, IN .............................................................................................................................................................................
Bartholomew County, IN.
Columbus, OH ...........................................................................................................................................................................
Delaware County, OH.
Fairfield County, OH.
Franklin County, OH.
Licking County, OH.
Madison County, OH.
Morrow County, OH.
Pickaway County, OH.
Union County, OH.
Corpus Christi, TX .....................................................................................................................................................................
Aransas County, TX.
Nueces County, TX.
San Patricio County, TX.
Corvallis, OR .............................................................................................................................................................................
Benton County, OR.
Cumberland, MD-WV ................................................................................................................................................................
Allegany County, MD.
Mineral County, WV.
Dallas-Plano-Irving, TX .............................................................................................................................................................
Collin County, TX.
Dallas County, TX.
Delta County, TX.
Denton County, TX.
Ellis County, TX.
Hunt County, TX.
Kaufman County, TX.
Rockwall County, TX.
Dalton, GA .................................................................................................................................................................................
Murray County, GA.
Whitfield County, GA.
Danville, IL .................................................................................................................................................................................
Vermilion County, IL.
Danville, VA ...............................................................................................................................................................................
Pittsylvania County, VA.
Danville City, VA.
Davenport-Moline-Rock Island, IA-IL ........................................................................................................................................
Henry County, IL.
Mercer County, IL.
Rock Island County, IL.
Scott County, IA.
Dayton, OH ................................................................................................................................................................................
Greene County, OH.
Miami County, OH.
Montgomery County, OH.
Preble County, OH.
Decatur, AL ...............................................................................................................................................................................
Lawrence County, AL.
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0.8542
0.8933
0.8239
0.9318
1.0107
0.8564
1.1546
0.8446
1.0075
0.9093
0.9266
0.8451
0.8846
0.9037
0.8159
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
19500 .......
19660 .......
19740 .......
19780 .......
19804 .......
20020 .......
20100 .......
20220 .......
20260 .......
20500 .......
20740 .......
20764 .......
20940 .......
21060 .......
21140 .......
21300 .......
21340 .......
21500 .......
ebenthall on PROD1PC71 with RULES2
21604 .......
21660 .......
21780 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Morgan County, AL.
Decatur, IL .................................................................................................................................................................................
Macon County, IL.
Deltona-Daytona Beach-Ormond Beach, FL ............................................................................................................................
Volusia County, FL.
Denver-Aurora, CO ...................................................................................................................................................................
Adams County, CO.
Arapahoe County, CO.
Broomfield County, CO.
Clear Creek County, CO.
Denver County, CO.
Douglas County, CO.
Elbert County, CO.
Gilpin County, CO.
Jefferson County, CO.
Park County, CO.
Des Moines-West Des Moines, IA ............................................................................................................................................
Dallas County, IA.
Guthrie County, IA.
Madison County, IA.
Polk County, IA.
Warren County, IA.
Detroit-Livonia-Dearborn, MI .....................................................................................................................................................
Wayne County, MI.
Dothan, AL ................................................................................................................................................................................
Geneva County, AL.
Henry County, AL.
Houston County, AL.
Dover, DE ..................................................................................................................................................................................
Kent County, DE.
Dubuque, IA ..............................................................................................................................................................................
Dubuque County, IA.
Duluth, MN-WI ...........................................................................................................................................................................
Carlton County, MN.
St. Louis County, MN.
Douglas County, WI.
Durham, NC ..............................................................................................................................................................................
Chatham County, NC.
Durham County, NC.
Orange County, NC.
Person County, NC.
Eau Claire, WI ...........................................................................................................................................................................
Chippewa County, WI.
Eau Claire County, WI.
Edison, NJ .................................................................................................................................................................................
Middlesex County, NJ.
Monmouth County, NJ.
Ocean County, NJ.
Somerset County, NJ.
El Centro, CA ............................................................................................................................................................................
Imperial County, CA.
Elizabethtown, KY .....................................................................................................................................................................
Hardin County, KY.
Larue County, KY.
Elkhart-Goshen, IN ....................................................................................................................................................................
Elkhart County, IN.
Elmira, NY .................................................................................................................................................................................
Chemung County, NY.
El Paso, TX ...............................................................................................................................................................................
El Paso County, TX.
Erie, PA .....................................................................................................................................................................................
Erie County, PA.
Essex County, MA .....................................................................................................................................................................
Essex County, MA.
Eugene-Springfield, OR ............................................................................................................................................................
Lane County, OR.
Evansville, IN-KY .......................................................................................................................................................................
Gibson County, IN.
Posey County, IN.
Vanderburgh County, IN.
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0.8172
0.9263
1.0930
0.9214
1.0281
0.7381
0.9847
0.9133
1.0042
0.9826
0.9630
1.1190
0.9076
0.8697
0.9426
0.8240
0.9053
0.8827
1.0418
1.0876
0.9071
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
21820 .......
21940 .......
22020 .......
22140 .......
22180 .......
22220 .......
22380 .......
22420 .......
22500 .......
22520 .......
22540 .......
22660 .......
22744 .......
22900 .......
23020 .......
23060 .......
23104 .......
23420 .......
23460 .......
23540 .......
ebenthall on PROD1PC71 with RULES2
23580 .......
23844 .......
24020 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Warrick County, IN.
Henderson County, KY.
Webster County, KY.
Fairbanks, AK ............................................................................................................................................................................
Fairbanks North Star Borough, AK.
Fajardo, PR ...............................................................................................................................................................................
Ceiba Municipio, PR.
Fajardo Municipio, PR.
Luquillo Municipio, PR.
Fargo, ND-MN ...........................................................................................................................................................................
Cass County, ND.
Clay County, MN.
Farmington, NM .........................................................................................................................................................................
San Juan County, NM.
Fayetteville, NC .........................................................................................................................................................................
Cumberland County, NC.
Hoke County, NC.
Fayetteville-Springdale-Rogers, AR-MO ...................................................................................................................................
Benton County, AR.
Madison County, AR.
Washington County, AR.
McDonald County, MO.
Flagstaff, AZ ..............................................................................................................................................................................
Coconino County, AZ.
Flint, MI ......................................................................................................................................................................................
Genesee County, MI.
Florence, SC .............................................................................................................................................................................
Darlington County, SC.
Florence County, SC.
Florence-Muscle Shoals, AL .....................................................................................................................................................
Colbert County, AL.
Lauderdale County, AL.
Fond du Lac, WI ........................................................................................................................................................................
Fond du Lac County, WI.
Fort Collins-Loveland, CO .........................................................................................................................................................
Larimer County, CO.
Fort Lauderdale-Pompano Beach-Deerfield Beach, FL ............................................................................................................
Broward County, FL.
Fort Smith, AR-OK ....................................................................................................................................................................
Crawford County, AR.
Franklin County, AR.
Sebastian County, AR.
Le Flore County, OK.
Sequoyah County, OK.
Fort Walton Beach-Crestview-Destin, FL ..................................................................................................................................
Okaloosa County, FL.
Fort Wayne, IN ..........................................................................................................................................................................
Allen County, IN.
Wells County, IN.
Whitley County, IN.
Fort Worth-Arlington, TX ...........................................................................................................................................................
Johnson County, TX.
Parker County, TX.
Tarrant County, TX.
Wise County, TX.
Fresno, CA ................................................................................................................................................................................
Fresno County, CA.
Gadsden, AL .............................................................................................................................................................................
Etowah County, AL.
Gainesville, FL ...........................................................................................................................................................................
Alachua County, FL.
Gilchrist County, FL.
Gainesville, GA ..........................................................................................................................................................................
Hall County, GA.
Gary, IN .....................................................................................................................................................................................
Jasper County, IN.
Lake County, IN.
Newton County, IN.
Porter County, IN.
Glens Falls, NY .........................................................................................................................................................................
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0.8250
0.8589
0.8945
0.8865
1.1601
1.0969
0.8388
0.7843
1.0063
0.9544
1.0133
0.7731
0.8643
0.9517
0.9569
1.0943
0.8066
0.9277
0.8958
0.9334
0.8324
44320
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
24140 .......
24220 .......
24300 .......
24340 .......
24500 .......
24540 .......
24580 .......
24660 .......
24780 .......
24860 .......
25020 .......
25060 .......
25180 .......
25260 .......
25420 .......
25500 .......
25540 .......
ebenthall on PROD1PC71 with RULES2
25620 .......
25860 .......
25980 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Warren County, NY.
Washington County, NY.
Goldsboro, NC ...........................................................................................................................................................................
Wayne County, NC.
Grand Forks, ND-MN ................................................................................................................................................................
Polk County, MN.
Grand Forks County, ND.
Grand Junction, CO ..................................................................................................................................................................
Mesa County, CO.
Grand Rapids-Wyoming, MI ......................................................................................................................................................
Barry County, MI.
Ionia County, MI.
Kent County, MI.
Newaygo County, MI.
Great Falls, MT .........................................................................................................................................................................
Cascade County, MT.
Greeley, CO ..............................................................................................................................................................................
Weld County, CO.
Green Bay, WI ...........................................................................................................................................................................
Brown County, WI.
Kewaunee County, WI.
Oconto County, WI.
Greensboro-High Point, NC ......................................................................................................................................................
Guilford County, NC.
Randolph County, NC.
Rockingham County, NC.
Greenville, NC ...........................................................................................................................................................................
Greene County, NC.
Pitt County, NC.
Greenville, SC ...........................................................................................................................................................................
Greenville County, SC.
Laurens County, SC.
Pickens County, SC.
Guayama, PR ............................................................................................................................................................................
Arroyo Municipio, PR.
Guayama Municipio, PR.
Patillas Municipio, PR.
Gulfport-Biloxi, MS ....................................................................................................................................................................
Hancock County, MS.
Harrison County, MS.
Stone County, MS.
Hagerstown-Martinsburg, MD-WV ............................................................................................................................................
Washington County, MD.
Berkeley County, WV.
Morgan County, WV.
Hanford-Corcoran, CA ...............................................................................................................................................................
Kings County, CA.
Harrisburg-Carlisle, PA ..............................................................................................................................................................
Cumberland County, PA.
Dauphin County, PA.
Perry County, PA.
Harrisonburg, VA .......................................................................................................................................................................
Rockingham County, VA.
Harrisonburg City, VA.
Hartford-West Hartford-East Hartford, CT ................................................................................................................................
Hartford County, CT.
Litchfield County, CT.
Middlesex County, CT.
Tolland County, CT.
Hattiesburg, MS .........................................................................................................................................................................
Forrest County, MS.
Lamar County, MS.
Perry County, MS.
Hickory-Lenoir-Morganton, NC ..................................................................................................................................................
Alexander County, NC.
Burke County, NC.
Caldwell County, NC.
Catawba County, NC.
Hinesville-Fort Stewart, GA1 .....................................................................................................................................................
Liberty County, GA.
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0.9668
0.9455
0.8598
0.9602
0.9787
0.8866
0.9432
0.9804
0.3235
0.8915
0.9038
1.0282
0.9402
0.9073
1.0894
0.7430
0.9010
0.9178
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
26100 .......
26180 .......
26300 .......
26380 .......
26420 .......
26580 .......
26620 .......
26820 .......
26900 .......
26980 .......
27060 .......
27100 .......
27140 .......
27180 .......
ebenthall on PROD1PC71 with RULES2
27260 .......
27340 .......
27500 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Long County, GA.
Holland-Grand Haven, MI .........................................................................................................................................................
Ottawa County, MI.
Honolulu, HI ...............................................................................................................................................................................
Honolulu County, HI.
Hot Springs, AR ........................................................................................................................................................................
Garland County, AR.
Houma-Bayou Cane-Thibodaux, LA .........................................................................................................................................
Lafourche Parish, LA.
Terrebonne Parish, LA.
Houston-Sugar Land-Baytown, TX ...........................................................................................................................................
Austin County, TX.
Brazoria County, TX.
Chambers County, TX.
Fort Bend County, TX.
Galveston County, TX.
Harris County, TX.
Liberty County, TX.
Montgomery County, TX.
San Jacinto County, TX.
Waller County, TX.
Huntington-Ashland, WV-KY-OH ..............................................................................................................................................
Boyd County, KY.
Greenup County, KY.
Lawrence County, OH.
Cabell County, WV.
Wayne County, WV.
Huntsville, AL ............................................................................................................................................................................
Limestone County, AL.
Madison County, AL.
Idaho Falls, ID ...........................................................................................................................................................................
Bonneville County, ID.
Jefferson County, ID.
Indianapolis-Carmel, IN .............................................................................................................................................................
Boone County, IN.
Brown County, IN.
Hamilton County, IN.
Hancock County, IN.
Hendricks County, IN.
Johnson County, IN.
Marion County, IN.
Morgan County, IN.
Putnam County, IN.
Shelby County, IN.
Iowa City, IA ..............................................................................................................................................................................
Johnson County, IA.
Washington County, IA.
Ithaca, NY ..................................................................................................................................................................................
Tompkins County, NY.
Jackson, MI ...............................................................................................................................................................................
Jackson County, MI.
Jackson, MS ..............................................................................................................................................................................
Copiah County, MS.
Hinds County, MS.
Madison County, MS.
Rankin County, MS.
Simpson County, MS.
Jackson, TN ..............................................................................................................................................................................
Chester County, TN.
Madison County, TN.
Jacksonville, FL .........................................................................................................................................................................
Baker County, FL.
Clay County, FL.
Duval County, FL.
Nassau County, FL.
St. Johns County, FL.
Jacksonville, NC ........................................................................................................................................................................
Onslow County, NC.
Janesville, WI ............................................................................................................................................................................
Rock County, WI.
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0.8082
1.0008
0.8997
0.9007
0.9088
0.9895
0.9714
0.9928
0.9560
0.8271
0.8853
0.9165
0.8231
0.9655
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
Urban area
(constituent counties)
Wage
index
27620 .......
Jefferson City, MO ....................................................................................................................................................................
Callaway County, MO.
Cole County, MO.
Moniteau County, MO.
Osage County, MO.
Johnson City, TN .......................................................................................................................................................................
Carter County, TN.
Unicoi County, TN.
Washington County, TN.
Johnstown, PA ..........................................................................................................................................................................
Cambria County, PA.
Jonesboro, AR ...........................................................................................................................................................................
Craighead County, AR.
Poinsett County, AR.
Joplin, MO .................................................................................................................................................................................
Jasper County, MO.
Newton County, MO.
Kalamazoo-Portage, MI .............................................................................................................................................................
Kalamazoo County, MI.
Van Buren County, MI.
Kankakee-Bradley, IL ................................................................................................................................................................
Kankakee County, IL.
Kansas City, MO-KS .................................................................................................................................................................
Franklin County, KS.
Johnson County, KS.
Leavenworth County, KS.
Linn County, KS.
Miami County, KS.
Wyandotte County, KS.
Bates County, MO.
Caldwell County, MO.
Cass County, MO.
Clay County, MO.
Clinton County, MO.
Jackson County, MO.
Lafayette County, MO.
Platte County, MO.
Ray County, MO.
Kennewick-Richland-Pasco, WA ...............................................................................................................................................
Benton County, WA.
Franklin County, WA.
Killeen-Temple-Fort Hood, TX ..................................................................................................................................................
Bell County, TX.
Coryell County, TX.
Lampasas County, TX.
Kingsport-Bristol-Bristol, TN-VA ................................................................................................................................................
Hawkins County, TN.
Sullivan County, TN.
Bristol City, VA.
Scott County, VA.
Washington County, VA.
Kingston, NY .............................................................................................................................................................................
Ulster County, NY.
Knoxville, TN .............................................................................................................................................................................
Anderson County, TN.
Blount County, TN.
Knox County, TN.
Loudon County, TN.
Union County, TN.
Kokomo, IN ................................................................................................................................................................................
Howard County, IN.
Tipton County, IN.
La Crosse, WI-MN .....................................................................................................................................................................
Houston County, MN.
La Crosse County, WI.
Lafayette, IN ..............................................................................................................................................................................
Benton County, IN.
Carroll County, IN.
Tippecanoe County, IN.
Lafayette, LA .............................................................................................................................................................................
0.8332
27740 .......
27780 .......
27860 .......
27900 .......
28020 .......
28100 .......
28140 .......
28420 .......
28660 .......
28700 .......
28740 .......
28940 .......
29020 .......
ebenthall on PROD1PC71 with RULES2
29100 .......
29140 .......
29180 .......
VerDate Aug<31>2005
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0.8043
0.8620
0.7662
0.8605
1.0704
1.0083
0.9495
1.0343
0.8901
0.7985
0.9367
0.8249
0.9669
0.9426
0.8931
0.8289
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
29340 .......
29404 .......
29460 .......
29540 .......
29620 .......
29700 .......
29740 .......
29820 .......
29940 .......
30020 .......
30140 .......
30300 .......
30340 .......
30460 .......
30620 .......
30700 .......
30780 .......
30860 .......
30980 .......
31020 .......
ebenthall on PROD1PC71 with RULES2
31084 .......
31140 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Lafayette Parish, LA.
St. Martin Parish, LA.
Lake Charles, LA .......................................................................................................................................................................
Calcasieu Parish, LA.
Cameron Parish, LA.
Lake County-Kenosha County, IL-WI .......................................................................................................................................
Lake County, IL.
Kenosha County, WI.
Lakeland, FL ..............................................................................................................................................................................
Polk County, FL.
Lancaster, PA ............................................................................................................................................................................
Lancaster County, PA.
Lansing-East Lansing, MI ..........................................................................................................................................................
Clinton County, MI.
Eaton County, MI.
Ingham County, MI.
Laredo, TX .................................................................................................................................................................................
Webb County, TX.
Las Cruces, NM ........................................................................................................................................................................
Dona Ana County, NM.
Las Vegas-Paradise, NV ...........................................................................................................................................................
Clark County, NV.
Lawrence, KS ............................................................................................................................................................................
Douglas County, KS.
Lawton, OK ................................................................................................................................................................................
Comanche County, OK.
Lebanon, PA ..............................................................................................................................................................................
Lebanon County, PA.
Lewiston, ID-WA ........................................................................................................................................................................
Nez Perce County, ID.
Asotin County, WA.
Lewiston-Auburn, ME ................................................................................................................................................................
Androscoggin County, ME.
Lexington-Fayette, KY ...............................................................................................................................................................
Bourbon County, KY.
Clark County, KY.
Fayette County, KY.
Jessamine County, KY.
Scott County, KY.
Woodford County, KY.
Lima, OH ...................................................................................................................................................................................
Allen County, OH.
Lincoln, NE ................................................................................................................................................................................
Lancaster County, NE.
Seward County, NE.
Little Rock-North Little Rock, AR ..............................................................................................................................................
Faulkner County, AR.
Grant County, AR.
Lonoke County, AR.
Perry County, AR.
Pulaski County, AR.
Saline County, AR.
Logan, UT-ID .............................................................................................................................................................................
Franklin County, ID.
Cache County, UT.
Longview, TX .............................................................................................................................................................................
Gregg County, TX.
Rusk County, TX.
Upshur County, TX.
Longview, WA ...........................................................................................................................................................................
Cowlitz County, WA.
Los Angeles-Long Beach-Glendale, CA ...................................................................................................................................
Los Angeles County, CA.
Louisville, KY-IN ........................................................................................................................................................................
Clark County, IN.
Floyd County, IN.
Harrison County, IN.
Washington County, IN.
Bullitt County, KY.
Henry County, KY.
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0.8879
0.9589
1.0088
0.7811
0.9273
1.1430
0.8365
0.8065
0.8679
0.9853
0.9126
0.9181
0.9042
1.0092
0.8890
0.9022
0.8788
1.0011
1.1760
0.9118
44324
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
31180 .......
31340 .......
31420 .......
31460 .......
31540 .......
31700 .......
31900 .......
32420 .......
32580 .......
32780 .......
32820 .......
32900 .......
33124 .......
33140 .......
33260 .......
ebenthall on PROD1PC71 with RULES2
33340 .......
33460 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Jefferson County, KY.
Meade County, KY.
Nelson County, KY.
Oldham County, KY.
Shelby County, KY.
Spencer County, KY.
Trimble County, KY.
Lubbock, TX ..............................................................................................................................................................................
Crosby County, TX.
Lubbock County, TX.
Lynchburg, VA ...........................................................................................................................................................................
Amherst County, VA.
Appomattox County, VA.
Bedford County, VA.
Campbell County, VA.
Bedford City, VA.
Lynchburg City, VA.
Macon, GA ................................................................................................................................................................................
Bibb County, GA.
Crawford County, GA.
Jones County, GA.
Monroe County, GA.
Twiggs County, GA.
Madera, CA ...............................................................................................................................................................................
Madera County, CA.
Madison, WI ..............................................................................................................................................................................
Columbia County, WI.
Dane County, WI.
Iowa County, WI.
Manchester-Nashua, NH ...........................................................................................................................................................
Hillsborough County, NH.
Merrimack County, NH.
Mansfield, OH ............................................................................................................................................................................
Richland County, OH.
¨
Mayaguez, PR ...........................................................................................................................................................................
Hormigueros Municipio, PR.
¨
Mayaguez Municipio, PR.
McAllen-Edinburg-Pharr, TX .....................................................................................................................................................
Hidalgo County, TX.
Medford, OR ..............................................................................................................................................................................
Jackson County, OR.
Memphis, TN-MS-AR ................................................................................................................................................................
Crittenden County, AR.
DeSoto County, MS.
Marshall County, MS.
Tate County, MS.
Tunica County, MS.
Fayette County, TN.
Shelby County, TN.
Tipton County, TN.
Merced, CA ...............................................................................................................................................................................
Merced County, CA.
Miami-Miami Beach-Kendall, FL ...............................................................................................................................................
Miami-Dade County, FL.
Michigan City-La Porte, IN ........................................................................................................................................................
LaPorte County, IN.
Midland, TX ...............................................................................................................................................................................
Midland County, TX.
Milwaukee-Waukesha-West Allis, WI ........................................................................................................................................
Milwaukee County, WI.
Ozaukee County, WI.
Washington County, WI.
Waukesha County, WI.
Minneapolis-St. Paul-Bloomington, MN-WI ...............................................................................................................................
Anoka County, MN.
Carver County, MN.
Chisago County, MN.
Dakota County, MN.
Hennepin County, MN.
Isanti County, MN.
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0.9519
0.8154
1.0840
1.0243
0.9271
0.3848
0.8773
1.0818
0.9373
1.1471
0.9812
0.9118
0.9786
1.0218
1.0946
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
33540 .......
33660 .......
33700 .......
33740 .......
33780 .......
33860 .......
34060 .......
34100 .......
34580 .......
34620 .......
34740 .......
34820 .......
34900 .......
34940 .......
34980 .......
35004 .......
ebenthall on PROD1PC71 with RULES2
35084 .......
35300 .......
35380 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Ramsey County, MN.
Scott County, MN.
Sherburne County, MN.
Washington County, MN.
Wright County, MN.
Pierce County, WI.
St. Croix County, WI.
Missoula, MT .............................................................................................................................................................................
Missoula County, MT.
Mobile, AL .................................................................................................................................................................................
Mobile County, AL.
Modesto, CA ..............................................................................................................................................................................
Stanislaus County, CA.
Monroe, LA ................................................................................................................................................................................
Ouachita Parish, LA.
Union Parish, LA.
Monroe, MI ................................................................................................................................................................................
Monroe County, MI.
Montgomery, AL ........................................................................................................................................................................
Autauga County, AL.
Elmore County, AL.
Lowndes County, AL.
Montgomery County, AL.
Morgantown, WV .......................................................................................................................................................................
Monongalia County, WV.
Preston County, WV.
Morristown, TN ..........................................................................................................................................................................
Grainger County, TN.
Hamblen County, TN.
Jefferson County, TN.
Mount Vernon-Anacortes, WA ..................................................................................................................................................
Skagit County, WA.
Muncie, IN .................................................................................................................................................................................
Delaware County, IN.
Muskegon-Norton Shores, MI ...................................................................................................................................................
Muskegon County, MI.
Myrtle Beach-Conway-North Myrtle Beach, SC ........................................................................................................................
Horry County, SC.
Napa, CA ...................................................................................................................................................................................
Napa County, CA.
Naples-Marco Island, FL ...........................................................................................................................................................
Collier County, FL.
Nashville-Davidson-Murfreesboro, TN ......................................................................................................................................
Cannon County, TN.
Cheatham County, TN.
Davidson County, TN.
Dickson County, TN.
Hickman County, TN.
Macon County, TN.
Robertson County, TN.
Rutherford County, TN.
Smith County, TN.
Sumner County, TN.
Trousdale County, TN.
Williamson County, TN.
Wilson County, TN.
Nassau-Suffolk, NY ...................................................................................................................................................................
Nassau County, NY.
Suffolk County, NY.
Newark-Union, NJ-PA ...............................................................................................................................................................
Essex County, NJ.
Hunterdon County, NJ.
Morris County, NJ.
Sussex County, NJ.
Union County, NJ.
Pike County, PA.
New Haven-Milford, CT .............................................................................................................................................................
New Haven County, CT.
New Orleans-Metairie-Kenner, LA ............................................................................................................................................
Jefferson Parish, LA.
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0.7913
1.1729
0.7997
0.9707
0.8009
0.8423
0.7933
1.0517
0.8562
0.9941
0.8810
1.3374
0.9941
0.9847
1.2662
1.1892
1.1953
0.8831
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Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
35644 .......
35660 .......
35980 .......
36084 .......
36100 .......
36140 .......
36220 .......
36260 .......
36420 .......
36500 .......
36540 .......
36740 .......
36780 .......
ebenthall on PROD1PC71 with RULES2
36980 .......
37100 .......
37340 .......
37460 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Orleans Parish, LA.
Plaquemines Parish, LA.
St. Bernard Parish, LA.
St. Charles Parish, LA.
St. John the Baptist Parish, LA.
St. Tammany Parish, LA.
New York-Wayne-White Plains, NY-NJ ....................................................................................................................................
Bergen County, NJ.
Hudson County, NJ.
Passaic County, NJ.
Bronx County, NY.
Kings County, NY.
New York County, NY.
Putnam County, NY.
Queens County, NY.
Richmond County, NY.
Rockland County, NY.
Westchester County, NY.
Niles-Benton Harbor, MI ............................................................................................................................................................
Berrien County, MI.
Norwich-New London, CT .........................................................................................................................................................
New London County, CT.
Oakland-Fremont-Hayward, CA ................................................................................................................................................
Alameda County, CA.
Contra Costa County, CA.
Ocala, FL ...................................................................................................................................................................................
Marion County, FL.
Ocean City, NJ ..........................................................................................................................................................................
Cape May County, NJ.
Odessa, TX ...............................................................................................................................................................................
Ector County, TX.
Ogden-Clearfield, UT ................................................................................................................................................................
Davis County, UT.
Morgan County, UT.
Weber County, UT.
Oklahoma City, OK ...................................................................................................................................................................
Canadian County, OK.
Cleveland County, OK.
Grady County, OK.
Lincoln County, OK.
Logan County, OK.
McClain County, OK.
Oklahoma County, OK.
Olympia, WA .............................................................................................................................................................................
Thurston County, WA.
Omaha-Council Bluffs, NE-IA ....................................................................................................................................................
Harrison County, IA.
Mills County, IA.
Pottawattamie County, IA.
Cass County, NE.
Douglas County, NE.
Sarpy County, NE.
Saunders County, NE.
Washington County, NE.
Orlando, FL ...............................................................................................................................................................................
Lake County, FL.
Orange County, FL.
Osceola County, FL.
Seminole County, FL.
Oshkosh-Neenah, WI ................................................................................................................................................................
Winnebago County, WI.
Owensboro, KY .........................................................................................................................................................................
Daviess County, KY.
Hancock County, KY.
McLean County, KY.
Oxnard-Thousand Oaks-Ventura, CA .......................................................................................................................................
Ventura County, CA.
Palm Bay-Melbourne-Titusville, FL ...........................................................................................................................................
Brevard County, FL.
Panama City-Lynn Haven, FL ...................................................................................................................................................
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1.1932
1.5819
0.8867
1.0472
1.0073
0.8995
0.8843
1.1081
0.9450
0.9452
0.9315
0.8748
1.1546
0.9443
0.8027
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
37620 .......
37700 .......
37860 .......
37900 .......
37964 .......
38060 .......
38220 .......
38300 .......
38340 .......
38540 .......
38660 .......
38860 .......
38900 .......
ebenthall on PROD1PC71 with RULES2
38940 .......
39100 .......
39140 .......
39300 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Bay County, FL.
Parkersburg-Marietta, WV-OH ..................................................................................................................................................
Washington County, OH.
Pleasants County, WV.
Wirt County, WV.
Wood County, WV.
Pascagoula, MS ........................................................................................................................................................................
George County, MS.
Jackson County, MS.
Pensacola-Ferry Pass-Brent, FL ...............................................................................................................................................
Escambia County, FL.
Santa Rosa County, FL.
Peoria, IL ...................................................................................................................................................................................
Marshall County, IL.
Peoria County, IL.
Stark County, IL.
Tazewell County, IL.
Woodford County, IL.
Philadelphia, PA ........................................................................................................................................................................
Bucks County, PA.
Chester County, PA.
Delaware County, PA.
Montgomery County, PA.
Philadelphia County, PA.
Phoenix-Mesa-Scottsdale, AZ ...................................................................................................................................................
Maricopa County, AZ.
Pinal County, AZ.
Pine Bluff, AR ............................................................................................................................................................................
Cleveland County, AR.
Jefferson County, AR.
Lincoln County, AR.
Pittsburgh, PA ...........................................................................................................................................................................
Allegheny County, PA.
Armstrong County, PA.
Beaver County, PA.
Butler County, PA.
Fayette County, PA.
Washington County, PA.
Westmoreland County, PA.
Pittsfield, MA .............................................................................................................................................................................
Berkshire County, MA.
Pocatello, ID ..............................................................................................................................................................................
Bannock County, ID.
Power County, ID.
Ponce, PR .................................................................................................................................................................................
´
Juana Dıaz Municipio, PR.
Ponce Municipio, PR.
Villalba Municipio, PR.
Portland-South Portland-Biddeford, ME ....................................................................................................................................
Cumberland County, ME.
Sagadahoc County, ME.
York County, ME.
Portland-Vancouver-Beaverton, OR-WA ...................................................................................................................................
Clackamas County, OR.
Columbia County, OR.
Multnomah County, OR.
Washington County, OR.
Yamhill County, OR.
Clark County, WA.
Skamania County, WA.
Port St. Lucie-Fort Pierce, FL ...................................................................................................................................................
Martin County, FL.
St. Lucie County, FL.
Poughkeepsie-Newburgh-Middletown, NY ................................................................................................................................
Dutchess County, NY.
Orange County, NY.
Prescott, AZ ...............................................................................................................................................................................
Yavapai County, AZ.
Providence-New Bedford-Fall River, RI-MA .............................................................................................................................
Bristol County, MA.
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1.0996
1.0287
0.8383
0.8674
1.0266
0.9400
0.4842
0.9908
1.1416
0.9833
1.0911
0.9836
1.0783
44328
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
39340 .......
39380 .......
39460 .......
39540 .......
39580 .......
39660 .......
39740 .......
39820 .......
39900 .......
40060 .......
40140 .......
40220 .......
ebenthall on PROD1PC71 with RULES2
40340 .......
40380 .......
40420 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Bristol County, RI.
Kent County, RI.
Newport County, RI.
Providence County, RI.
Washington County, RI.
Provo-Orem, UT ........................................................................................................................................................................
Juab County, UT.
Utah County, UT.
Pueblo, CO ................................................................................................................................................................................
Pueblo County, CO.
Punta Gorda, FL ........................................................................................................................................................................
Charlotte County, FL.
Racine, WI .................................................................................................................................................................................
Racine County, WI.
Raleigh-Cary, NC ......................................................................................................................................................................
Franklin County, NC.
Johnston County, NC.
Wake County, NC.
Rapid City, SD ...........................................................................................................................................................................
Meade County, SD.
Pennington County, SD.
Reading, PA ..............................................................................................................................................................................
Berks County, PA.
Redding, CA ..............................................................................................................................................................................
Shasta County, CA.
Reno-Sparks, NV ......................................................................................................................................................................
Storey County, NV.
Washoe County, NV.
Richmond, VA ...........................................................................................................................................................................
Amelia County, VA.
Caroline County, VA.
Charles City County, VA.
Chesterfield County, VA.
Cumberland County, VA.
Dinwiddie County, VA.
Goochland County, VA.
Hanover County, VA.
Henrico County, VA.
King and Queen County, VA.
King William County, VA.
Louisa County, VA.
New Kent County, VA.
Powhatan County, VA.
Prince George County, VA.
Sussex County, VA.
Colonial Heights City, VA.
Hopewell City, VA.
Petersburg City, VA.
Richmond City, VA.
Riverside-San Bernardino-Ontario, CA .....................................................................................................................................
Riverside County, CA.
San Bernardino County, CA.
Roanoke, VA .............................................................................................................................................................................
Botetourt County, VA.
Craig County, VA.
Franklin County, VA.
Roanoke County, VA.
Roanoke City, VA.
Salem City, VA.
Rochester, MN ..........................................................................................................................................................................
Dodge County, MN.
Olmsted County, MN.
Wabasha County, MN.
Rochester, NY ...........................................................................................................................................................................
Livingston County, NY.
Monroe County, NY.
Ontario County, NY.
Orleans County, NY.
Wayne County, NY.
Rockford, IL ...............................................................................................................................................................................
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0.8753
0.9405
0.9356
0.9864
0.8833
0.9622
1.3198
1.1963
0.9177
1.0904
0.8647
1.1408
0.8994
0.9989
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
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TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
40484 .......
40580 .......
40660 .......
40900 .......
40980 .......
41060 .......
41100 .......
41140 .......
41180 .......
41420 .......
41500 .......
41540 .......
41620 .......
41660 .......
ebenthall on PROD1PC71 with RULES2
41700 .......
41740 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Boone County, IL.
Winnebago County, IL.
Rockingham County-Strafford County, NH ...............................................................................................................................
Rockingham County, NH.
Strafford County, NH.
Rocky Mount, NC ......................................................................................................................................................................
Edgecombe County, NC.
Nash County, NC.
Rome, GA ..................................................................................................................................................................................
Floyd County, GA.
Sacramento-Arden-Arcade-Roseville, CA .................................................................................................................................
El Dorado County, CA.
Placer County, CA.
Sacramento County, CA.
Yolo County, CA.
Saginaw-Saginaw Township North, MI .....................................................................................................................................
Saginaw County, MI.
St. Cloud, MN ............................................................................................................................................................................
Benton County, MN.
Stearns County, MN.
St. George, UT ..........................................................................................................................................................................
Washington County, UT.
St. Joseph, MO-KS ...................................................................................................................................................................
Doniphan County, KS.
Andrew County, MO.
Buchanan County, MO.
DeKalb County, MO.
St. Louis, MO-IL ........................................................................................................................................................................
Bond County, IL.
Calhoun County, IL.
Clinton County, IL.
Jersey County, IL.
Macoupin County, IL.
Madison County, IL.
Monroe County, IL.
St. Clair County, IL.
Crawford County, MO.
Franklin County, MO.
Jefferson County, MO.
Lincoln County, MO.
St. Charles County, MO.
St. Louis County, MO.
Warren County, MO.
Washington County, MO.
St. Louis City, MO.
Salem, OR .................................................................................................................................................................................
Marion County, OR.
Polk County, OR.
Salinas, CA ................................................................................................................................................................................
Monterey County, CA.
Salisbury, MD ............................................................................................................................................................................
Somerset County, MD.
Wicomico County, MD.
Salt Lake City, UT .....................................................................................................................................................................
Salt Lake County, UT.
Summit County, UT.
Tooele County, UT.
San Angelo, TX .........................................................................................................................................................................
Irion County, TX.
Tom Green County, TX.
San Antonio, TX ........................................................................................................................................................................
Atascosa County, TX.
Bandera County, TX.
Bexar County, TX.
Comal County, TX.
Guadalupe County, TX.
Kendall County, TX.
Medina County, TX.
Wilson County, TX.
San Diego-Carlsbad-San Marcos, CA ......................................................................................................................................
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0.8854
0.9193
1.3372
0.8874
1.0362
0.9265
1.0118
0.9005
1.0438
1.4337
0.8953
0.9402
0.8362
0.8844
1.1354
44330
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
41780 .......
41884 .......
41900 .......
41940 .......
41980 .......
42020 .......
42044 .......
ebenthall on PROD1PC71 with RULES2
42060 .......
42100 .......
42140 .......
42220 .......
42260 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
San Diego County, CA.
Sandusky, OH ...........................................................................................................................................................................
Erie County, OH.
San Francisco-San Mateo-Redwood City, CA ..........................................................................................................................
Marin County, CA.
San Francisco County, CA.
San Mateo County, CA.
´
San German-Cabo Rojo, PR ....................................................................................................................................................
Cabo Rojo Municipio, PR.
Lajas Municipio, PR.
Sabana Grande Municipio, PR.
´
San German Municipio, PR.
San Jose-Sunnyvale-Santa Clara, CA ......................................................................................................................................
San Benito County, CA.
Santa Clara County, CA.
San Juan-Caguas-Guaynabo, PR .............................................................................................................................................
Aguas Buenas Municipio, PR.
Aibonito Municipio, PR.
Arecibo Municipio, PR.
Barceloneta Municipio, PR.
Barranquitas Municipio, PR.
´
Bayamon Municipio, PR.
Caguas Municipio, PR.
Camuy Municipio, PR.
´
Canovanas Municipio, PR.
Carolina Municipio, PR.
˜
Catano Municipio, PR.
Cayey Municipio, PR.
Ciales Municipio, PR.
Cidra Municipio, PR.
´
Comerıo Municipio, PR.
Corozal Municipio, PR.
Dorado Municipio, PR.
Florida Municipio, PR.
Guaynabo Municipio, PR.
Gurabo Municipio, PR.
Hatillo Municipio, PR.
Humacao Municipio, PR.
Juncos Municipio, PR.
Las Piedras Municipio, PR.
´
Loıza Municipio, PR.
´
Manatı Municipio, PR.
Maunabo Municipio, PR.
Morovis Municipio, PR.
Naguabo Municipio, PR.
Naranjito Municipio, PR.
Orocovis Municipio, PR.
Quebradillas Municipio, PR.
´
Rıo Grande Municipio, PR.
San Juan Municipio, PR.
San Lorenzo Municipio, PR.
Toa Alta Municipio, PR.
Toa Baja Municipio, PR.
Trujillo Alto Municipio, PR.
Vega Alta Municipio, PR.
Vega Baja Municipio, PR.
Yabucoa Municipio, PR.
San Luis Obispo-Paso Robles, CA ...........................................................................................................................................
San Luis Obispo County, CA.
Santa Ana-Anaheim-Irvine, CA .................................................................................................................................................
Orange County, CA.
Santa Barbara-Santa Maria-Goleta, CA ...................................................................................................................................
Santa Barbara County, CA.
Santa Cruz-Watsonville, CA ......................................................................................................................................................
Santa Cruz County, CA.
Santa Fe, NM ............................................................................................................................................................................
Santa Fe County, NM.
Santa Rosa-Petaluma, CA ........................................................................................................................................................
Sonoma County, CA.
Sarasota-Bradenton-Venice, FL ................................................................................................................................................
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1.5543
0.4452
1.1598
1.1473
1.1091
1.5457
1.0824
1.4464
0.9868
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
44331
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
42340 .......
42540 .......
42644 .......
42680 .......
43100 .......
43300 .......
43340 .......
43580 .......
43620 .......
43780 .......
43900 .......
44060 .......
44100 .......
44140 .......
44180 .......
44220 .......
44300 .......
44700 .......
44940 .......
ebenthall on PROD1PC71 with RULES2
45060 .......
45104 .......
45220 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Manatee County, FL.
Sarasota County, FL.
Savannah, GA ...........................................................................................................................................................................
Bryan County, GA.
Chatham County, GA.
Effingham County, GA.
Scranton–Wilkes-Barre, PA .......................................................................................................................................................
Lackawanna County, PA.
Luzerne County, PA.
Wyoming County, PA.
Seattle-Bellevue-Everett, WA ....................................................................................................................................................
King County, WA.
Snohomish County, WA.
Sebastian-Vero Beach, FL ........................................................................................................................................................
Indian River County, FL.
Sheboygan, WI ..........................................................................................................................................................................
Sheboygan County, WI.
Sherman-Denison, TX ...............................................................................................................................................................
Grayson County, TX.
Shreveport-Bossier City, LA ......................................................................................................................................................
Bossier Parish, LA.
Caddo Parish, LA.
De Soto Parish, LA.
Sioux City, IA-NE-SD ................................................................................................................................................................
Woodbury County, IA.
Dakota County, NE.
Dixon County, NE.
Union County, SD.
Sioux Falls, SD ..........................................................................................................................................................................
Lincoln County, SD.
McCook County, SD.
Minnehaha County, SD.
Turner County, SD.
South Bend-Mishawaka, IN-MI .................................................................................................................................................
St. Joseph County, IN.
Cass County, MI.
Spartanburg, SC ........................................................................................................................................................................
Spartanburg County, SC.
Spokane, WA ............................................................................................................................................................................
Spokane County, WA.
Springfield, IL ............................................................................................................................................................................
Menard County, IL.
Sangamon County, IL.
Springfield, MA ..........................................................................................................................................................................
Franklin County, MA.
Hampden County, MA.
Hampshire County, MA.
Springfield, MO ..........................................................................................................................................................................
Christian County, MO.
Dallas County, MO.
Greene County, MO.
Polk County, MO.
Webster County, MO.
Springfield, OH ..........................................................................................................................................................................
Clark County, OH.
State College, PA ......................................................................................................................................................................
Centre County, PA.
Stockton, CA .............................................................................................................................................................................
San Joaquin County, CA.
Sumter, SC ................................................................................................................................................................................
Sumter County, SC.
Syracuse, NY ............................................................................................................................................................................
Madison County, NY.
Onondaga County, NY.
Oswego County, NY.
Tacoma, WA ..............................................................................................................................................................................
Pierce County, WA.
Tallahassee, FL .........................................................................................................................................................................
Gadsden County, FL.
Jefferson County, FL.
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0.8347
1.1434
0.9573
0.9026
0.8502
0.8865
0.9200
0.9559
0.9842
0.9174
1.0447
0.8890
1.0079
0.8469
0.8593
0.8784
1.1442
0.8083
0.9691
1.0789
0.8942
44332
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
45300 .......
45460 .......
45500 .......
45780 .......
45820 .......
45940 .......
46060 .......
46140 .......
46220 .......
46340 .......
46540 .......
46660 .......
46700 .......
47020 .......
47220 .......
ebenthall on PROD1PC71 with RULES2
47260 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Leon County, FL.
Wakulla County, FL.
Tampa-St. Petersburg-Clearwater, FL ......................................................................................................................................
Hernando County, FL.
Hillsborough County, FL.
Pasco County, FL.
Pinellas County, FL.
Terre Haute, IN .........................................................................................................................................................................
Clay County, IN.
Sullivan County, IN.
Vermillion County, IN.
Vigo County, IN.
Texarkana, TX-Texarkana, AR .................................................................................................................................................
Miller County, AR.
Bowie County, TX.
Toledo, OH ................................................................................................................................................................................
Fulton County, OH.
Lucas County, OH.
Ottawa County, OH.
Wood County, OH.
Topeka, KS ................................................................................................................................................................................
Jackson County, KS.
Jefferson County, KS.
Osage County, KS.
Shawnee County, KS.
Wabaunsee County, KS.
Trenton-Ewing, NJ .....................................................................................................................................................................
Mercer County, NJ.
Tucson, AZ ................................................................................................................................................................................
Pima County, AZ.
Tulsa, OK ..................................................................................................................................................................................
Creek County, OK.
Okmulgee County, OK.
Osage County, OK.
Pawnee County, OK.
Rogers County, OK.
Tulsa County, OK.
Wagoner County, OK.
Tuscaloosa, AL ..........................................................................................................................................................................
Greene County, AL.
Hale County, AL.
Tuscaloosa County, AL.
Tyler, TX ....................................................................................................................................................................................
Smith County, TX.
Utica-Rome, NY ........................................................................................................................................................................
Herkimer County, NY.
Oneida County, NY.
Valdosta, GA .............................................................................................................................................................................
Brooks County, GA.
Echols County, GA.
Lanier County, GA.
Lowndes County, GA.
Vallejo-Fairfield, CA ...................................................................................................................................................................
Solano County, CA.
Victoria, TX ................................................................................................................................................................................
Calhoun County, TX.
Goliad County, TX.
Victoria County, TX.
Vineland-Millville-Bridgeton, NJ .................................................................................................................................................
Cumberland County, NJ.
Virginia Beach-Norfolk-Newport News, VA-NC ........................................................................................................................
Currituck County, NC.
Gloucester County, VA.
Isle of Wight County, VA.
James City County, VA.
Mathews County, VA.
Surry County, VA.
York County, VA.
Chesapeake City, VA.
Hampton City, VA.
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0.9586
0.8730
1.0835
0.9202
0.8103
0.8542
0.8811
0.8396
0.8369
1.5137
0.8560
0.9832
0.8790
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
44333
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
47300 .......
47380 .......
47580 .......
47644 .......
47894 .......
47940 .......
48140 .......
48260 .......
48300 .......
48424 .......
48540 .......
ebenthall on PROD1PC71 with RULES2
48620 .......
48660 .......
48700 .......
VerDate Aug<31>2005
Urban area
(constituent counties)
Wage
index
Newport News City, VA.
Norfolk City, VA.
Poquoson City, VA.
Portsmouth City, VA.
Suffolk City, VA.
Virginia Beach City, VA.
Williamsburg City, VA.
Visalia-Porterville, CA ................................................................................................................................................................
Tulare County, CA.
Waco, TX ...................................................................................................................................................................................
McLennan County, TX.
Warner Robins, GA ...................................................................................................................................................................
Houston County, GA.
Warren-Troy-Farmington Hills, MI .............................................................................................................................................
Lapeer County, MI.
Livingston County, MI.
Macomb County, MI.
Oakland County, MI.
St. Clair County, MI.
Washington-Arlington-Alexandria, DC-VA-MD-WV ...................................................................................................................
District of Columbia, DC.
Calvert County, MD.
Charles County, MD.
Prince George’s County, MD.
Arlington County, VA.
Clarke County, VA.
Fairfax County, VA.
Fauquier County, VA.
Loudoun County, VA.
Prince William County, VA.
Spotsylvania County, VA.
Stafford County, VA.
Warren County, VA.
Alexandria City, VA.
Fairfax City, VA.
Falls Church City, VA.
Fredericksburg City, VA.
Manassas City, VA.
Manassas Park City, VA.
Jefferson County, WV.
Waterloo-Cedar Falls, IA ...........................................................................................................................................................
Black Hawk County, IA.
Bremer County, IA.
Grundy County, IA.
Wausau, WI ...............................................................................................................................................................................
Marathon County, WI.
Weirton-Steubenville, WV-OH ...................................................................................................................................................
Jefferson County, OH.
Brooke County, WV.
Hancock County, WV.
Wenatchee, WA ........................................................................................................................................................................
Chelan County, WA.
Douglas County, WA.
West Palm Beach-Boca Raton-Boynton Beach, FL .................................................................................................................
Palm Beach County, FL.
Wheeling, WV-OH .....................................................................................................................................................................
Belmont County, OH.
Marshall County, WV.
Ohio County, WV.
Wichita, KS ................................................................................................................................................................................
Butler County, KS.
Harvey County, KS.
Sedgwick County, KS.
Sumner County, KS.
Wichita Falls, TX .......................................................................................................................................................................
Archer County, TX.
Clay County, TX.
Wichita County, TX.
Williamsport, PA ........................................................................................................................................................................
Lycoming County, PA.
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07AUR2
0.9968
0.8633
0.8380
1.0054
1.1054
0.8408
0.9722
0.8063
1.0346
0.9649
0.7010
0.9063
0.8311
0.8139
44334
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 1.—INPATIENT REHABILITATION FACILITY WAGE INDEX FOR URBAN AREAS FOR DISCHARGES OCCURRING FROM
OCTOBER 1, 2007 THROUGH SEPTEMBER 30, 2008—Continued
CBSA
code
Urban area
(constituent counties)
Wage
index
48864 .......
Wilmington, DE-MD-NJ .............................................................................................................................................................
New Castle County, DE.
Cecil County, MD.
Salem County, NJ.
Wilmington, NC .........................................................................................................................................................................
Brunswick County, NC.
New Hanover County, NC.
Pender County, NC.
Winchester, VA-WV ...................................................................................................................................................................
Frederick County, VA.
Winchester City, VA.
Hampshire County, WV.
Winston-Salem, NC ...................................................................................................................................................................
Davie County, NC.
Forsyth County, NC.
Stokes County, NC.
Yadkin County, NC.
Worcester, MA ...........................................................................................................................................................................
Worcester County, MA.
Yakima, WA ...............................................................................................................................................................................
Yakima County, WA.
Yauco, PR .................................................................................................................................................................................
´
Guanica Municipio, PR.
Guayanilla Municipio, PR.
˜
Penuelas Municipio, PR.
Yauco Municipio, PR.
York-Hanover, PA .....................................................................................................................................................................
York County, PA.
Youngstown-Warren-Boardman, OH-PA ..................................................................................................................................
Mahoning County, OH.
Trumbull County, OH.
Mercer County, PA.
Yuba City, CA ............................................................................................................................................................................
Sutter County, CA.
Yuba County, CA.
Yuma, AZ ..................................................................................................................................................................................
Yuma County, AZ.
1.0684
48900 .......
49020 .......
49180 .......
49340 .......
49420 .......
49500 .......
49620 .......
49660 .......
49700 .......
49740 .......
0.9835
1.0091
0.9276
1.0722
0.9847
0.3854
0.9397
0.8802
1.0730
0.9109
1 At this time, there are no hospitals located in this CBSA-based urban area on which to base a wage index. Therefore, the wage index value
is based on the methodology described in the August 15, 2005 final rule (70 FR 47880). The wage index value for this area is the average wage
index for all urban areas within the state.
TABLE 2.—INPATIENT REHABILITATION
FACILITY WAGE INDEX FOR RURAL
AREAS FOR DISCHARGES OCCURRING FROM OCTOBER 1, 2007
THROUGH SEPTEMBER 30, 2008
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code
01
02
03
04
05
06
07
08
10
11
12
13
14
15
16
17
18
19
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
Wage
index
Nonurban area
Alabama .......................
Alaska ..........................
Arizona .........................
Arkansas ......................
California ......................
Colorado ......................
Connecticut ..................
Delaware ......................
Florida ..........................
Georgia ........................
Hawaii ..........................
Idaho ............................
Illinois ...........................
Indiana .........................
Iowa .............................
Kansas .........................
Kentucky ......................
Louisiana ......................
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17:54 Aug 06, 2007
0.7591
1.0661
0.8908
0.7307
1.1454
0.9325
1.1709
0.9705
0.8594
0.7593
1.0448
0.8120
0.8320
0.8538
0.8681
0.7998
0.7768
0.7438
Jkt 211001
TABLE 2.—INPATIENT REHABILITATION
FACILITY WAGE INDEX FOR RURAL
AREAS FOR DISCHARGES OCCURRING FROM OCTOBER 1, 2007
THROUGH SEPTEMBER 30, 2008—
Continued
TABLE 2.—INPATIENT REHABILITATION
FACILITY WAGE INDEX FOR RURAL
AREAS FOR DISCHARGES OCCURRING FROM OCTOBER 1, 2007
THROUGH SEPTEMBER 30, 2008—
Continued
CBSA
code
CBSA
code
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
PO 00000
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
Nonurban area
Wage
index
Maine ...........................
Maryland ......................
Massachusetts 2 ...........
Michigan .......................
Minnesota ....................
Mississippi ....................
Missouri ........................
Montana .......................
Nebraska ......................
Nevada .........................
New Hampshire ...........
New Jersey 1 ................
New Mexico .................
New York .....................
North Carolina ..............
North Dakota ................
Ohio .............................
0.8443
0.8926
1.1661
0.9062
0.9153
0.7738
0.7927
0.8590
0.8677
0.8944
1.0853
................
0.8332
0.8232
0.8588
0.7215
0.8658
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38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
Nonurban area
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
.......
E:\FR\FM\07AUR2.SGM
Wage
index
Oklahoma .....................
Oregon .........................
Pennsylvania ................
Puerto Rico 3 ................
Rhode Island 1 .............
South Carolina .............
South Dakota ...............
Tennessee ...................
Texas ...........................
Utah .............................
Vermont .......................
Virgin Islands ...............
Virginia .........................
Washington ..................
West Virginia ................
Wisconsin .....................
Wyoming ......................
0.7629
0.9753
0.8320
0.4047
................
0.8566
0.8480
0.7827
0.7965
0.8140
0.9744
0.8467
0.7940
1.0263
0.7607
0.9553
0.9295
07AUR2
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules and Regulations
TABLE 2.—INPATIENT REHABILITATION
FACILITY WAGE INDEX FOR RURAL
AREAS FOR DISCHARGES OCCURRING FROM OCTOBER 1, 2007
THROUGH SEPTEMBER 30, 2008—
Continued
CBSA
code
Nonurban area
Wage
index
65 .......
Guam ...........................
0.9611
1 All
counties within the State are classified
as urban.
2 Massachusetts has areas designated as
rural; however, no short-term, acute care hospitals are located in the area(s) for FY 2008.
As discussed in the preamble in Section VI.B,
we will impute a wage index value for rural
Massachusetts based on the average wage
index from all contiguous CBSAs.
3 Puerto Rico has areas designated as rural;
however, no short-term, acute care hospitals
are located in the area(s) for FY 2008. As discussed in the preamble in Section VI.B, we
will continue to use the most recent wage
index previously available for Puerto Rico as
discussed in the FY 2006 IRF PPS final rule
(70 FR 47880).
[FR Doc. 07–3789 Filed 7–31–07; 4:00 pm]
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44335
Agencies
[Federal Register Volume 72, Number 151 (Tuesday, August 7, 2007)]
[Rules and Regulations]
[Pages 44284-44335]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 07-3789]
[[Page 44283]]
-----------------------------------------------------------------------
Part III
Department of Health and Human Services
-----------------------------------------------------------------------
Centers for Medicare & Medicaid Services
-----------------------------------------------------------------------
42 CFR Part 412
Medicare Program; Inpatient Rehabilitation Facility Prospective Payment
System for Federal Fiscal Year 2008; Final Rule
Federal Register / Vol. 72, No. 151 / Tuesday, August 7, 2007 / Rules
and Regulations
[[Page 44284]]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Centers for Medicare & Medicaid Services
42 CFR Part 412
[CMS-1551-F]
RIN 0938-AO63
Medicare Program; Inpatient Rehabilitation Facility Prospective
Payment System for Federal Fiscal Year 2008
AGENCY: Centers for Medicare & Medicaid Services (CMS), HHS.
ACTION: Final rule.
-----------------------------------------------------------------------
SUMMARY: This final rule will update the prospective payment rates for
inpatient rehabilitation facilities (IRFs) for Federal fiscal year (FY)
2008 (for discharges occurring on or after October 1, 2007 and on or
before September 30, 2008) as required under section 1886(j)(3)(C) of
the Social Security Act (the Act). Section 1886(j)(5) of the Act
requires the Secretary to publish in the Federal Register on or before
the August 1 that precedes the start of each fiscal year, the
classification and weighting factors for the IRF prospective payment
system's (PPS) case-mix groups and a description of the methodology and
data used in computing the prospective payment rates for that fiscal
year.
We are revising existing policies regarding the PPS within the
authority granted under section 1886(j) of the Act.
DATES: The regulatory changes to 42 CFR part 412 are effective October
1, 2007. The updated IRF prospective payment rates are applicable for
discharges on or after October 1, 2007 and on or before September 30,
2008.
FOR FURTHER INFORMATION CONTACT: Pete Diaz, (410) 786-1235, for
information regarding the 75 percent rule.
Susanne Seagrave, (410) 786-0044, for information regarding the
payment policies.
Zinnia Ng, (410) 786-4587, for information regarding the wage index
and prospective payment rate calculation.
SUPPLEMENTARY INFORMATION:
Table of Contents
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS) for Fiscal Years (FYs) 2002
Through 2007
B. Requirements for Updating the IRF PPS Rates
C. Operational Overview of the Current IRF PPS
II. Provisions of the Proposed Regulations
III. Analysis of and Responses to Public Comments
IV. 75 Percent Rule Policy
V. Classification System for the Inpatient Rehabilitation Facility
Prospective Payment System
VI. FY 2008 IRF PPS Federal Prospective Payment Rates
A. FY 2008 IRF Market Basket Increase Factor and Labor-Related
Share
B. Area Wage Adjustment
C. Description of the IRF Standard Payment Conversion Factor and
Payment Rates for FY 2008
D. Example of the Methodology for Adjusting the Federal
Prospective Payment Rates
VII. Update to Payments for High-Cost Outliers Under the IRF PPS
A. Update to the Outlier Threshold Amount for FY 2008
B. Update to the IRF Cost-to-Charge Ratio Ceilings
VIII. Clarification to the Regulations Text for Special Payment
Provisions for Patients That Are Transferred
IX. Miscellaneous Comments Outside the Scope of the Proposed Rule
X. Provisions of the Final Regulation
XI. Collection of Information Requirement
XII. Regulatory Impact Analysis
A. Overall Impact
B. Anticipated Effects of the Final Rule
C. Anticipated Effects of the 75 Percent Rule Policy
D. Alternatives Considered
E. Accounting Statement
F. Conclusion
Regulation Text
Addendum
Acronyms
Because of the many terms to which we refer by acronym in this
final rule, we are listing the acronyms used and their corresponding
terms in alphabetical order below.
ASCA Administrative Simplification Compliance Act of 2002, Pub. L.
107-105
BBA Balanced Budget Act of 1997, Pub. L. 105-33
BBRA Medicare, Medicaid, and SCHIP [State Children's Health
Insurance Program] Balanced Budget Refinement Act of 1999, Pub. L.
106-113
BIPA Medicare, Medicaid, and SCHIP [State Children's Health
Insurance Program] Benefits Improvement and Protection Act of 2000,
Pub. L. 106-554
CBSA Core-Based Statistical Area
CCR Cost-to-Charge Ratio
CFR Code of Federal Regulations
CMG Case-Mix Group
DRA Deficit Reduction Act of 2005, Pub. L. 109-171
DSH Disproportionate Share Hospital
ECI Employment Cost Indexes
FI Fiscal Intermediary
FR Federal Register
FY Federal Fiscal Year
HHH Hubert H. Humphrey Building
HIPAA Health Insurance Portability and Accountability Act, Pub. L.
104-191
IFMC Iowa Foundation for Medical Care
IOM Internet-Only Manual
IPPS Inpatient Prospective Payment System
IRF Inpatient Rehabilitation Facility
IRF-PAI Inpatient Rehabilitation Facility-Patient Assessment
Instrument
IRF PPS Inpatient Rehabilitation Facility Prospective Payment System
IRVEN Inpatient Rehabilitation Validation and Entry
LIP Low-Income Percentage
MEDPAR Medicare Provider Analysis and Review
MMA Medicare Prescription Drug, Improvement, and Modernization Act
of 2003 (Pub. L. 108-173)
MSA Metropolitan Statistical Area
NAICS North American Industrial Classification System
OMB Office of Management and Budget
PAI Patient Assessment Instrument
PPS Prospective Payment System
RAND RAND Corporation
RAC Recovery Audit Contractor
RFA Regulatory Flexibility Act, Pub. L. 96-354
RIA Regulation Impact Analysis
RIC Rehabilitation Impairment Category
RPL Rehabilitation, Psychiatric, and Long-Term Care Hospital Market
Basket
SCHIP State Children's Health Insurance Program
SIC Standard Industrial Code
TEFRA Tax Equity and Fiscal Responsibility Act of 1982, Pub. L. 97-
248
I. Background
A. Historical Overview of the Inpatient Rehabilitation Facility
Prospective Payment System (IRF PPS) for Fiscal Years (FYs) 2002
Through 2007
Section 4421 of the Balanced Budget Act of 1997 (BBA, Pub. L. 105-
33), as amended by section 125 of the Medicare, Medicaid, and SCHIP
[State Children's Health Insurance Program] Balanced Budget Refinement
Act of 1999 (BBRA, Pub. L. 106-113), and by section 305 of the
Medicare, Medicaid, and SCHIP Benefits Improvement and Protection Act
of 2000 (BIPA, Pub. L. 106-554), provides for the implementation of a
per discharge prospective payment system (PPS), through section 1886(j)
of the Social Security Act (the Act), for inpatient rehabilitation
hospitals and inpatient rehabilitation units of a hospital (hereinafter
referred to as IRFs).
Payments under the IRF PPS encompass inpatient operating and
capital costs of furnishing covered rehabilitation services (that is,
routine, ancillary, and capital costs) but not costs of approved
educational activities, bad debts, and other services or items outside
the scope of the IRF PPS. Although a complete discussion of the IRF PPS
provisions appears in the August 7, 2001 final rule (66 FR 41316) as
revised in the FY 2006 IRF PPS final rule (70 FR 47880, August 15,
2005), we are providing below a general
[[Page 44285]]
description of the IRF PPS for fiscal years (FYs) 2002 through 2005.
Under the IRF PPS from FY 2002 through FY 2005, as described in the
August 7, 2001 final rule, the Federal prospective payment rates were
computed across 100 distinct case-mix groups (CMGs). We constructed 95
CMGs using rehabilitation impairment categories (RICs), functional
status (both motor and cognitive), and age (in some cases, cognitive
status and age may not be a factor in defining a CMG). In addition, we
constructed five special CMGs to account for very short stays and for
patients who expire in the IRF.
For each of the CMGs, we developed relative weighting factors to
account for a patient's clinical characteristics and expected resource
needs. Thus, the weighting factors accounted for the relative
difference in resource use across all CMGs. Within each CMG, we created
tiers based on the estimated effects that certain comorbidities would
have on resource use.
We established the Federal PPS rates using a standardized payment
conversion factor (formerly referred to as the budget neutral
conversion factor). For a detailed discussion of the budget neutral
conversion factor, please refer to our August 1, 2003 final rule (68 FR
45674, 45684 through 45685). In the FY 2006 IRF PPS final rule, we
discussed in detail the methodology for determining the standard
payment conversion factor.
We applied the relative weighting factors to the standard payment
conversion factor to compute the unadjusted Federal prospective payment
rates. Under the IRF PPS from FYs 2002 through 2005, we then applied
adjustments for geographic variations in wages (wage index), the
percentage of low-income patients, and location in a rural area (if
applicable) to the IRF's unadjusted Federal prospective payment rates.
In addition, we made adjustments to account for short-stay transfer
cases, interrupted stays, and high cost outliers.
For cost reporting periods that began on or after January 1, 2002
and before October 1, 2002, we determined the final prospective payment
amounts using the transition methodology prescribed in section
1886(j)(1) of the Act. Under this provision, IRFs transitioning into
the PPS were paid a blend of the Federal IRF PPS rate and the payment
that the IRF would have received had the IRF PPS not been implemented.
This provision also allowed IRFs to elect to bypass this blended
payment and immediately be paid 100 percent of the Federal IRF PPS
rate. The transition methodology expired as of cost reporting periods
beginning on or after October 1, 2002 (FY 2003), and payments for all
IRFs now consist of 100 percent of the Federal IRF PPS rate.
We established a CMS Web site as a primary information resource for
the IRF PPS. The Web site URL is https://www.cms.hhs.gov/
InpatientRehabFacPPS/ and may be accessed to download or view
publications, software, data specifications, educational materials, and
other information pertinent to the IRF PPS.
Section 1886(j) of the Act confers broad statutory authority to
propose refinements to the IRF PPS. We finalized the refinements
described in this section in the FY 2006 IRF PPS final rule. The
provisions of the FY 2006 IRF PPS final rule became effective for
discharges beginning on or after October 1, 2005. We published
correcting amendments to the FY 2006 IRF PPS final rule in the Federal
Register on September 30, 2005 (70 FR 57166). Any reference to the FY
2006 IRF PPS final rule in this final rule also includes the provisions
effective in the correcting amendments.
In the FY 2006 final rule (70 FR 47880 and 70 FR 57166), we
finalized a number of refinements to the IRF PPS case-mix
classification system (the CMGs and the corresponding relative weights)
and the case-level and facility-level adjustments. These refinements
were based on analyses by the RAND Corporation (RAND), a non-partisan
economic and social policy research group, using calendar year 2002 and
FY 2003 data. These were the first significant refinements to the IRF
PPS since its implementation. In conducting the analysis, RAND used
claims and clinical data for services furnished after the IRF PPS
implementation. These newer data sets were more complete, and reflected
improved coding of comorbidities and patient severity by IRFs. The
researchers were able to use new data sources for imputing missing
values and more advanced statistical approaches to complete their
analyses. The RAND reports supporting the refinements made to the IRF
PPS are available on the CMS Web site at: https://www.cms.hhs.gov/
InpatientRehabFacPPS/09_Research.asp.
The final key policy changes, effective for discharges occurring on
or after October 1, 2005, are discussed in detail in the FY 2006 IRF
PPS final rule (70 FR 47880 and 70 FR 57166). The following is a brief
summary of the key policy changes:
Adopted the Office of Management and Budget's (OMB's)
Core-Based Statistical Area (CBSA) market area definitions in a budget
neutral manner.
Implemented a budget-neutral 3-year hold harmless policy
for IRFs that had been classified as rural in FY 2005, but became urban
in FY 2006.
Implemented a payment adjustment to account for changes in
coding that did not reflect real changes in case mix. We reduced the
standard payment amount by 1.9 percent to account for such changes in
coding following implementation of the IRF PPS.
Modified the CMGs, tier comorbidities, and relative
weights in a budget-neutral manner. The five special CMGs remained the
same as they had been before FY 2006 and continued to account for very
short stays and for patients who expire in the IRF.
Implemented a teaching status adjustment in a budget
neutral manner for IRFs, similar to the one adopted for inpatient
psychiatric facilities.
Revised and rebased the market basket and labor-related
share to reflect the operating and capital cost structures for
rehabilitation, psychiatric, and long-term care (RPL) hospitals to
update IRF payment rates.
Updated the rural adjustment from 19.14 percent to 21.3
percent in a budget neutral manner.
Updated the low-income percentage (LIP) adjustment from an
exponent of 0.484 to an exponent of 0.6229 in a budget neutral manner.
Updated the outlier threshold amount from $11,211 to
$5,129.
As noted above, a detailed discussion of the final key policy
changes for FY 2006 appears in the FY 2006 IRF PPS final rule (70 FR
47880 and 70 FR 57166).
In the FY 2007 final rule (71 FR 48354) we made the following
revisions and updates:
Updated the relative weight and average length of stay
tables based on re-analysis of the data by CMS and our contractor, the
RAND Corporation.
Reduced the standard payment amount by 2.6 percent to
account more fully for coding changes that do not reflect real changes
in case mix.
Updated the IRF PPS payment rates by the FY 2007 estimates
of the market basket and the labor-related share.
Updated the IRF PPS payment rates by the FY 2007 wage
indexes.
Applied the second year of the hold harmless policy in a
budget neutral manner.
Updated the outlier threshold from $5,129 to $5,534.
Updated the urban and rural national cost-to-charge ratio
ceilings for
[[Page 44286]]
the purposes of determining outlier payments under the IRF PPS and
clarified the methodology described in the regulations text.
Revised the regulation text in Sec. 412.23(b)(2)(i) and
Sec. 412.23(b)(2)(ii) to reflect the statutory changes in section 5005
of the Deficit Reduction Act of 2005 (DRA, Pub. L. 109-171). The
regulation text change prolongs the overall duration of the phased
transition to the full 75 percent threshold established in Sec.
412.23(b)(2)(i) and Sec. 412.23(b)(2)(ii), by extending the
transition's 60 percent phase for an additional 12 months. In addition
to the above DRA requirements pertaining to the applicable compliance
percentage requirements under Sec. 412.23(b)(2), we also permitted a
comorbidity that meets the criteria as specified in Sec.
412.23(b)(2)(i) to continue to be used before the 75 percent compliance
threshold must be met.
B. Requirements for Updating the IRF PPS Rates
On August 7, 2001, we published a final rule titled ``Medicare
Program; Prospective Payment System for Inpatient Rehabilitation
Facilities'' in the Federal Register (66 FR 41316) that established a
PPS for IRFs as authorized under section 1886(j) of the Act and
codified at subpart P of part 412 of the Medicare regulations. In the
August 7, 2001 final rule, we set forth the per discharge Federal
prospective payment rates for FY 2002, which provided payment for
inpatient operating and capital costs of furnishing covered
rehabilitation services (that is, routine, ancillary, and capital
costs) but not costs of approved educational activities, bad debts, and
other services or items that are outside the scope of the IRF PPS. The
provisions of the August 7, 2001 final rule were effective for cost
reporting periods beginning on or after January 1, 2002. On July 1,
2002, we published a correcting amendment to the August 7, 2001 final
rule in the Federal Register (67 FR 44073). Any references to the
August 7, 2001 final rule in this final rule include the provisions
effective in the correcting amendment.
Section 1886(j)(5) of the Act and Sec. 412.628 of the regulations
require the Secretary to publish in the Federal Register, on or before
the August 1 that precedes the start of each new FY, the
classifications and weighting factors for the IRF CMGs and a
description of the methodology and data used in computing the
prospective payment rates for the upcoming FY. On August 1, 2002, we
published a notice in the Federal Register (67 FR at 49928) to update
the IRF Federal prospective payment rates from FY 2002 to FY 2003 using
the methodology as described in Sec. 412.624. As stated in the August
1, 2002 notice, we used the same classifications and weighting factors
for the IRF CMGs that were set forth in the August 7, 2001 final rule
to update the IRF Federal prospective payment rates from FY 2002 to FY
2003. We continued to update the prospective payment rates in
accordance with the methodology set forth in the August 7, 2001 final
rule for each succeeding FY up to and including FY 2005. For FY 2006,
however, we published a final rule that revised several IRF PPS
policies (70 FR 47880). The provisions of the FY 2006 IRF PPS final
rule became effective for discharges occurring on or after October 1,
2005. We published correcting amendments to the FY 2006 IRF PPS final
rule in the Federal Register (70 FR 57166). Any reference to the FY
2006 IRF PPS final rule in this final rule includes the provisions
effective in the correcting amendments.
In the final rule for FY 2007, we updated the IRF Federal
prospective payment rates. In addition, we updated the cost-to-charge
ratio ceilings and the outlier threshold. We implemented a 2.6 percent
reduction to the FY 2007 standard payment amount to account more fully
for changes in coding practices that do not reflect real changes in
case mix. We revised the tier comorbidities and the relative weights to
ensure that IRF PPS payments reflect, as closely as possible, the costs
of caring for patients in IRFs. The final FY 2007 Federal prospective
payment rates were effective for discharges occurring on or after
October 1, 2006 and on or before September 30, 2007.
C. Operational Overview of the Current IRF PPS
As described in the August 7, 2001 final rule, upon the admission
and discharge of a Medicare Part A fee-for-service patient, the IRF is
required to complete the appropriate sections of a patient assessment
instrument, the Inpatient Rehabilitation Facility-Patient Assessment
Instrument (IRF-PAI). All required data must be electronically encoded
into the IRF-PAI software product. Generally, the software product
includes patient grouping programming called the GROUPER software. The
GROUPER software uses specific Patient Assessment Instrument (PAI) data
elements to classify (or group) patients into distinct CMGs and account
for the existence of any relevant comorbidities.
The GROUPER software produces a five-digit CMG number. The first
digit is an alpha-character that indicates the comorbidity tier. The
last four digits represent the distinct CMG number. (Free downloads of
the Inpatient Rehabilitation Validation and Entry (IRVEN) software
product, including the GROUPER software, are available on the CMS Web
site at https://www.cms.hhs.gov/InpatientRehabFacPPS/06_Software.asp).
Once a patient is discharged, the IRF completes the Medicare claim
(UB-92 or its equivalent) using the five-digit CMG number and sends it
to the appropriate Medicare fiscal intermediary (FI). Claims submitted
to Medicare must comply with both the Administrative Simplification
Compliance Act (ASCA, Pub. L. 107-105), and the Health Insurance
Portability and Accountability Act of 1996 (HIPAA, Pub. L. 104-191).
Section 3 of the ASCA amends section 1862(a) of the Act by adding
paragraph (22) which requires the Medicare program, subject to section
1862(h) of the Act, to deny payment under Part A or Part B for any
expenses for items or services ``for which a claim is submitted other
than in an electronic form specified by the Secretary.'' Section
1862(h) of the Act, in turn, provides that the Secretary shall waive
such denial in two types of cases and may also waive such denial ``in
such unusual cases as the Secretary finds appropriate.'' See also the
final rule on Electronic Submission of Medicare Claims (70 FR 71008,
November 25, 2005). Section 3 of the ASCA operates in the context of
the administrative simplification provisions of HIPAA, which include,
among others, the requirements for transaction standards and code sets
codified as 45 CFR parts 160 and 162, subparts A and I through R
(generally known as the Transactions Rule). The Transactions Rule
requires covered entities, including covered providers, to conduct
covered electronic transactions according to the applicable transaction
standards. (See the program claim memoranda issued and published by CMS
at: https://www.cms.hhs.gov/ElectronicBillingEDITrans/ and the Internet-
Only Manual (IOM) at Pub. 100-04 published by CMS at: https://
www.cms.hhs.gov/Manuals/IOM/list.asp). Instructions for the limited
number of claims submitted to Medicare on paper are published by CMS
at: https://www.cms.hhs.gov/manuals/downloads/clm104c25.pdf.
The Medicare FI processes the claim through its software system.
This software system includes pricing programming called the PRICER
software. The PRICER software uses the CMG number, along with other
specific
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claim data elements and provider-specific data, to adjust the IRF's
prospective payment for interrupted stays, transfers, short stays, and
deaths, and then applies the applicable adjustments to account for the
IRF's wage index, percentage of low-income patients, rural location,
and outlier payments. For discharges occurring on or after October 1,
2005, the IRF PPS payment also reflects the new teaching status
adjustment that became effective as of FY 2006, as discussed in the FY
2006 IRF PPS final rule (70 FR 47880).
II. Provisions of the Proposed Regulation
As discussed in the FY 2008 IRF PPS proposed rule (72 FR 26230), we
proposed to make revisions to the regulation text in order to implement
policy changes for IRFs for FY 2008 and subsequent fiscal years.
Specifically, we proposed to make conforming changes in 42 CFR part
412. We discuss these proposed revisions and others in detail below.
A. Section 412.624 Methodology for Calculating the Federal Prospective
Payment Rates
We proposed to revise the current regulations text in paragraph
(f)(2)(v) to clarify that we determine whether a high-cost outlier
payment would be applicable for transfer cases. We emphasize that this
is not a change to our current methodology for determining whether a
high-cost outlier payment applies to transfer cases.
B. Additional Proposed Changes
Update the FY 2008 IRF PPS payment rates by the market
basket, as discussed in section IV.A of the FY 2008 IRF PPS proposed
rule (72 FR 26320).
Update the FY 2008 IRF PPS payment rates by the proposed
wage index and the labor related share in a budget neutral manner, as
discussed in section IV.A and B of the FY 2008 IRF PPS proposed rule
(72 FR 26320).
Update the pre-reclassified and pre-floor wage indexes
based on the CBSA changes published in the most recent OMB bulletins
that apply to the hospital wage data used to determine the current IRF
PPS wage index, as discussed in section IV.B of the FY 2008 IRF PPS
proposed rule (72 FR 26320).
Revise the wage index policy for rural areas without
hospital wage data by imputing an average wage index from all
contiguous CBSAs to represent a reasonable proxy for the rural area
within a State, as discussed in section IV.B of the proposed rule (72
FR 26320).
Implement the final year of the 3-year hold harmless
policy adopted in the FY 2006 IRF PPS final rule (70 FR 47880, 447923
through 47926) in a budget neutral manner, as discussed in section IV.B
of the FY 2008 IRF PPS proposed rule (72 FR 26320).
Update the outlier threshold amount for FY 2008 to $7,522,
as discussed in section V.A of the FY 2008 IRF PPS proposed rule (72 FR
26320).
Update the cost-to-charge ratio ceiling and the national
average urban and rural cost-to-charge ratios for purposes of
determining outlier payments under the IRF PPS, as discussed in section
V.B of the FY 2008 IRF PPS proposed rule (72 FR 26320).
III. Analysis of and Responses to Public Comments
We received approximately 40 timely items of correspondence
containing multiple comments on the FY 2008 proposed rule (72 FR 26230)
from the public. We received comments from a university, various trade
associations, inpatient rehabilitation facilities, health care industry
organizations, and health care consulting firms. The following
discussion, arranged by subject area, includes a summary of the public
comments that we received, and our responses to the comments appear
under the appropriate subject heading.
IV. 75 Percent Rule Policy
In order to be excluded from the acute care inpatient hospital PPS
specified in Sec. 412.1(a)(1) and instead be paid under the IRF PPS, a
hospital or rehabilitation unit of an acute care hospital must meet the
requirements for classification as an IRF stipulated in subpart B of
part 412. As discussed in previous Federal Register publications 68 FR
26786 (May 16, 2003), 68 FR 53266 (September 9, 2003), 69 FR 25752 (May
7, 2004), 70 FR 36640 (June 24, 2005), and 71 FR 48354 (August 18,
2006)), Sec. 412.23(b)(2) specifies one criterion that Medicare uses
for classifying a hospital or unit of a hospital as an IRF. The
criterion is that a minimum percentage of a facility's total inpatient
population must require intensive rehabilitative services for the
treatment of at least one of 13 medical conditions listed in Sec.
412.23(b)(2)(iii) in order for the facility to be classified as an IRF.
The minimum percentage is known as the ``compliance threshold.'' In
addition, for cost reporting periods beginning on or after July 1,
2004, and before July 1, 2008, a patient's comorbidity, as defined at
Sec. 412.602, as well as the patient's principal diagnosis, may be
included when determining the medical conditions of the inpatient
population that count toward the required applicable percentage, if
certain requirements are met.
Prior to the May 7, 2004 final rule (69 FR 25752), Sec.
412.23(b)(2) stipulated that the compliance threshold was 75 percent.
Therefore, the compliance threshold was commonly referred to as the
``75 percent rule.'' In addition, prior to the May 7, 2004 final rule,
the regulation only specified 10 medical conditions. However, in the
May 7, 2004 final rule, we revised Sec. 412.23(b)(2) to increase the
number of medical conditions to 13. We also temporarily lowered the
compliance threshold, while at the same time specifying a transition
period at the end of which IRFs would once again have to meet a
compliance threshold of 75 percent. Also, as described below, the
revised regulation specified that during the compliance threshold
transition period, a patient's comorbidity may be used to determine
whether a provider met the compliance threshold, provided certain
applicable requirements were met.
The regulations at Sec. 412.602 define a comorbidity as a specific
patient condition that is secondary to the patient's principal
diagnosis. A patient's principal diagnosis is the primary reason a
patient is admitted to an IRF, and this diagnosis is used to determine
whether the patient had a medical condition that can be counted toward
meeting the compliance threshold. As specified in the May 7, 2004 final
rule, in order for an inpatient with a certain comorbidity to be
included in the inpatient population that counts toward the applicable
percentage, the following criteria must be met:
The patient is admitted for inpatient rehabilitation for a
condition that is not one of the conditions listed in Sec.
412.23(b)(2)(iii).
The patient also has a comorbidity that falls within one
of the conditions listed in Sec. 412.23(b)(2)(iii).
The comorbidity has caused significant decline in
functional ability in the individual such that, even in the absence of
the admitting condition, the individual would require the intensive
rehabilitation treatment that is unique to inpatient rehabilitation
facilities paid under the IRF PPS and that cannot be appropriately
performed in another Medicare-covered care setting.
In accordance with the May 7, 2004 final rule, IRFs would have had
to meet a compliance threshold of 75 percent for cost reporting periods
starting on or after July 1, 2007. However, section 5005 of the Deficit
Reduction Act of 2005 (DRA, Pub. L. 109-171) modified the applicable
time periods when the various compliance thresholds, as originally
specified in the May 7, 2004 final rule, must be met. The net effect of
the DRA was extension of the
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compliance threshold transition period. Due to the DRA, the transition
period was extended to include cost reporting periods starting on or
after July 1, 2004, and before July 1, 2008. Therefore, in order to
conform the regulations to the DRA, we revised Sec. 412.23(b)(2) by
stipulating that an IRF must meet the full 75 percent compliance
threshold as of its first cost reporting period that starts on or after
July 1, 2008, rather than on or after July 1, 2007. In addition, we
also permitted a comorbidity that meets the criteria as specified in
paragraph (b)(2)(i) of Sec. 412.23 to continue to be used, along with
principal diagnosis, to determine the compliance threshold for cost
reporting periods beginning before July 1, 2008, rather than before
July 1, 2007. (For a complete description of all of the changes, see
the FY 2007 IRF PPS final rule (71 FR 48354)).
Under existing policy, for cost reporting periods beginning on or
after July 1, 2008, comorbidities will not be eligible for inclusion in
the calculations used to determine whether the provider meets the 75
percent compliance threshold specified in Sec. 412.23(b)(2)(ii).
However, in the May 7, 2004 final rule (69 FR 25762), we encouraged
research evaluating the continued use of comorbidities in determining
compliance with the 75 percent rule. Therefore, in the May 8, 2007
proposed rule (72 FR 26230), we solicited comments supporting current
policy or other options, including use of some or all of the existing
comorbidities in calculating the compliance percentage for an
additional fixed period of one or more years or to integrate the
inclusion of some or all of the existing comorbidities on a permanent
basis. In addition, we solicited comments that include clinical data
based on scientifically sound research that provide evidence to support
these and other options.
We received many comments on this proposal, which are summarized
below.
Comment: Commenters cited our acknowledgement, made during a
conference on Medicare and Medicaid payment issues held March 2007 in
Baltimore, Maryland, that approximately 7 percent of inpatients from
July 2005 through June 2006 were counted toward the compliance
threshold because they met the medical conditions listed in Sec.
412.23(b)(2)(iii) only because of the patient's comorbidities. They
argued that eliminating use of comorbidities to determine the
compliance percentage would be equivalent to adding an additional 7
percent to the compliance threshold.
Response: One method that we use to determine compliance with the
requirements specified at Sec. 412.23(b)(2) is analysis of the
impairment group and etiologic diagnosis codes, as well as the
comorbidity codes, recorded on the IRF-PAI. It is true that IRF-PAI
data from July 1, 2005, to June 30, 2006, indicates that approximately
7 percent of IRF cases met the compliance standards based on the IRF-
PAI comorbidity codes alone rather than on the IRF-PAI impairment group
or etiologic diagnosis codes. However, this does not mean that the
cases were evenly distributed across providers or that 7 percent of
IRFs met the compliance threshold solely because of the comorbid
conditions of their inpatients. The commenters offer no evidence that
IRFs needed to rely on those 7 percent of cases in order to meet the
compliance threshold. Also, our rules already provide that up to 25
percent of the cases do not have to be admitted because of a qualifying
diagnosis. It does not follow that, because 7 percent of the IRF cases
met the compliance standards only because of the comorbidities recorded
on the IRF-PAIs, using just the principal diagnoses to determine
compliance would result in a higher ``effective'' compliance threshold.
For example, although an IRF may have had a certain percentage of cases
that presumptively met a medical condition listed in Sec.
412.23(b)(2)(iii) only because of the comorbid conditions recorded on
the IRF-PAI, the IRF may also have a sufficient number of other cases
with impairment group or etiologic codes that meet one of the medical
conditions identified in Sec. 412.23(b)(2)(iii), and these other cases
by themselves could allow the IRF to meet the compliance threshold.
In addition, there is a second method of verifying compliance,
which is the FI analyzing a random sample of medical records.
Consequently, although the IRF may fail to meet the compliance
threshold by an analysis of its IRF-PAI data, the IRF may meet the
compliance threshold when the medical records are analyzed. The medical
records identify the principal diagnoses, as well as the information
supporting the principal diagnoses, which is much more detailed than
the list of codes recorded on the IRF-PAIs. Thus, the medical record of
a patient may indicate the presence of a qualifying condition that
meets the 75 percent rule when the IRF data does not.
The medical conditions that we believe are most appropriate for
treatment in an IRF are listed in Sec. 412.23(b)(2)(iii). However,
these medical conditions are not specific diagnoses, but broad medical
categories. In addition, we acknowledge that there may be atypical
patients with medical conditions not listed in Sec. 412.23(b)(2)(iii)
who may occasionally also require treatment in an IRF. Therefore, Sec.
412.23(b)(2) has always allowed the IRF the flexibility to admit a
percentage of patients with medical conditions not listed in this
section of the regulations without losing its classification status as
an IRF and the higher reimbursement rate than would be paid to
hospitals under the IPPS.
It is important to note that even when the compliance threshold
increases to 75 percent, an IRF may admit up to 25 percent of patients
who have medical needs that meet the IRF medical necessity criteria but
do not have as a principal diagnosis one of the 13 medical conditions
used to classify a provider as an IRF. Thus, an IRF may admit up to 25
percent of patients not meeting the 75 percent rule and still be
eligible to be paid under the IRF PPS. In other words, when the
compliance threshold increases to 75 percent, as many as 1 in every 4
patients may still be admitted with a principal diagnosis that is not
one of the medical conditions listed in Sec. 412.23(b)(2)(iii), as
long as the patient requires an IRF level of care. Therefore, if an IRF
believes that the clinical status of some patients involves principal
diagnoses or comorbidities that are so unusually medically and
functionally complex as to demonstrate medical necessity to be admitted
the IRF, then the IRF may admit these atypical cases as part of the
percentage of cases that do not have to meet the 75 percent rule.
Comment: Many commenters urged CMS to permanently continue to use a
patient's comorbidities to determine whether a provider met the 75
percent rule. Some commenters stated that terminating the use of
comorbidities would decrease the number of IRFs that can achieve
compliance as they are adapting their admissions policies and operating
procedures. Several commenters urged us to continue the use of
comorbidities in the compliance calculations until we can refine the
way we identify patients that are most appropriate for an IRF-level of
care, or until such time as we have sufficient data to reassess all the
provisions of the 75 percent rule. These commenters state that the
simple diagnosis-based criteria used in the 75 percent rule is
insensitive to the special needs of individual patients, and encouraged
CMS to move toward more patient-specific criteria. These commenters
also urged CMS to modernize the classifying conditions. Several
commenters argued that
[[Page 44289]]
comorbidities should be retained for use in compliance calculations at
a minimum until further research examining the use of comorbidities is
conducted, such as assessing the potential negative patient outcomes
that may result from the discontinued use. Commenters believed that
expiration of the comorbidity provision would change provider behavior,
and specifically change admission patterns, in ways that cannot be
evaluated using historical data.
Response: We believe a patient's principal diagnosis most
accurately identifies the medical condition that required intensive
inpatient rehabilitation. A patient's principal diagnosis is determined
from the combination of items and services the IRF furnished to the
inpatient as documented in the patient's medical record, including the
data derived from medical tests, lab tests, procedures, and therapy, as
well as the notes of the IRF's clinicians. Medical conditions that are
secondary to the patient's principal reason for the inpatient
rehabilitation stay are comorbid medical conditions.
It is not unusual for patients admitted to an IRF to have more than
one ailment for which the patient exhibited a need for medical
treatment. However, it is the patient's principal diagnosis that most
accurately denotes whether a patient had a medical condition listed in
Sec. 412.23(b)(2)(iii) that required intensive inpatient
rehabilitation because of how, as described previously, the principal
diagnosis is determined. In other words, the data used to determine the
principal diagnosis makes it the most accurate diagnosis that
identifies the medical condition which required intensive inpatient
rehabilitation. Additionally, as stated above, Sec. 412.23(b)(2) has
always allowed the IRF the flexibility to admit a percentage of
patients with medical conditions not listed in this regulation section,
as long as the patient requires an IRF level of care, without
jeopardizing the IRF's classification and eligibility for payment under
the IRF PPS.
We believe it is essential that we maintain appropriate criteria to
ensure that only facilities providing medically necessary intensive
inpatient rehabilitation are classified as IRFs. Thus, it is imperative
to identify medical conditions that would typically require intensive
inpatient rehabilitation in IRFs, because rehabilitation in general can
be delivered in a variety of settings, such as acute care hospitals,
SNFs, and outpatient settings. The most appropriate method we can use
to identify the medical condition of an inpatient is to determine the
impairment that led to admission of the patient to the IRF. It is the
principal diagnosis that best identifies the impairment which resulted
in the patient's admission providing the principal diagnosis was made
in accordance with acceptable medical practice and appropriate clinical
coding standards.
The inclusion of comorbidities in determining provider compliance
with IRF classification requirements was established as a temporary
policy in our May 7, 2004 final rule (69 FR 25752), and the revised
regulation continues to be commonly referred to as the 75 percent rule.
After careful review of a large volume of comments, we stated in the
May 7, 2004 final rule (69 FR 25752, 25762) that we recognized IRFs
could need additional time in order to adjust to the revised
regulations. Therefore, in order to give IRFs flexibility to adapt we
implemented a phase-in to meeting the 75 percent compliance threshold.
Similarly, the intent of the comorbidity provision was to provide
flexibility that would help providers adapt to the phase-in of
enforcement of the compliance threshold.
Originally the transition time period, which provided for a phase-
in of the compliance percentage and included the use of comorbid
conditions in compliance calculations, was 3 years. However, in
accordance with the DRA, the transition time period was extended one
additional year. We also decided to extend the use of comorbidities for
one additional year as well to maintain consistency with our current
approach with respect to the counting of comorbidities before the 75
percent threshold applies. Therefore, providers will have had 4 years
to adjust their case-mixes and adapt their operations in order to
comply with the 75 percent rule.
As stated in the May 7, 2004 final rule (69 FR 25752, 25762) we
have encouraged stakeholders to conduct research studies that could
assist us in evaluating IRF compliance criteria. (Elsewhere in this
preamble we describe our research efforts.) While we are aware that
some studies have been initiated, they have not yet yielded results.
The commenters urging the continuation of comorbidities did not support
their arguments with sound clinical evidence on the value of including
comorbidities when calculating the compliance percentage. In the
absence of such evidence, we do not believe it would be appropriate to
convert what was always intended to be a temporary accommodation during
the phase-in period to a permanent policy. Similarly, we think it would
be inappropriate to adopt an extension of indefinite duration because
we have no way to estimate when and if sufficient data will become
available to reevaluate the IRF classification criteria. However, we
will examine our policies as the results of well-designed, rigorous,
scientific studies become available and continue to encourage the
industry and academics to conduct rehabilitation research. We will
continue to evaluate the 75 percent rule and as appropriate will
consider improvements to the criteria identifying appropriate IRF
admissions that are supported by high-quality research and/or our data
analysis.
Miscellaneous 75 Percent Rule Comments
Although it is difficult to separate comments on our comorbidity
policy and comments on the other provisions of the 75 percent rule, we
believe that the following comments were generally about the other
aspects of the 75 percent rule.
Comment: Commenters stated that the 75 percent rule jeopardized the
care of patients who required treatment in an IRF by restricting access
to treatment. They believe that patients with medical conditions not
listed in Sec. 412.23(b)(2)(iii) should be admitted to IRFs because
IRFs provide better care for these types of patients. One commenter
further stated that the 75 percent rule, by restricting access to care,
is denying patients with disabilities access to the comprehensive,
coordinated rehabilitation services in an IRF. Another commenter
referenced research that the commenter believes shows the length of
stay (LOS) of patients with single joint replacements was less in an
IRF as opposed to a SNF.
Response: In this rule, we did not propose changes to the 13
qualifying conditions considered to be appropriate for IRF care.
However, in the May 7, 2004 final rule (69 FR 25752) we responded to
similar comments. We continue to believe that an IRF is appropriately
characterized as an inpatient hospital setting designed to provide the
specialized, intensive, and interdisciplinary rehabilitation level of
care that certain types of patients need. Although we remain committed
to maintaining access to rehabilitation care for all Medicare
beneficiaries, not all patients require the intensive degree of
rehabilitation services that an IRF furnishes. We believe that those
specific patients with certain medical conditions requiring intensive
inpatient physical therapy, occupational therapy, and, if necessary,
speech and language therapy
[[Page 44290]]
are the patients most appropriate for treatment in an IRF.
We do not believe that the 75 percent rule jeopardizes access to an
appropriate level of rehabilitation care, nor do we have data to
support that perspective. In addition, although an IRF is capable of
extensive medical management of patients by virtue of its inpatient
hospital status, as we stated in the May 7, 2004 final rule (69 FR
25752, 25764) ``patients who require medical management but not
intensive, interdisciplinary rehabilitation can be cared for in another
setting.'' The fact that care in an IRF may be preferred by some
patients and/or their physicians does not make it the most appropriate
clinical treatment setting or the most optimal use of intensive
rehabilitation resources uniquely provided by IRFs. As part of our
ongoing efforts to evaluate the impact of the requirements at Sec.
412.23(b)(2) since we revised the regulations, we have analyzed the
available data extensively. Our most recent analysis of this data is
available at the following Web site: https://www.cms.hhs.gov/
InpatientRehabFacPPS/Downloads/IRF_PPS_75_percent_Rule_060807.pdf.
As the IRF industry has noted, the reduced claims volume identified
since 2004, which shows the decrease in the inpatient population of
IRFs, is almost entirely attributable to cases in one of these five IRF
PPS rehabilitation impairment categories (RICs): Lower extremity joint
replacement, cardiac, osteoarthritis, pain syndrome, and the
miscellaneous category. These five RICs are precisely the types of
medical conditions that the 75 percent rule was designed to screen out,
because they are not generally thought to require the intensive
rehabilitation services provided by IRFs. The clinical experts that CMS
consulted prior to publishing the May 7, 2004 final rule (69 FR 25752)
indicated that the vast majority of patients with these medical
conditions could typically be cared for appropriately in other less
intensive settings. In addition, while we have and are continuing to
encourage research studies, these studies have not yet been completed.
In the absence of findings generated from well-designed scientific
studies, we have no evidence showing that the medical conditions in
these 5 RICs require treatment in an IRF as opposed to receiving
treatment at another treatment setting. Therefore, we do not agree that
without a more complete analysis of the patient characteristics and
care needs of patients served in the different settings that a
shortened length of stay for single joint replacement cases is, in
itself, a compelling reason for these cases to be treated in an IRF.
In addition, as more fully described in the analysis, which is
available on the previously identified Web site, our examination of the
data indicates that patients requiring post-acute rehabilitation care
for four common conditions (total knee replacement, total hip
replacement, hip fracture, and stroke) have access to and are receiving
services in different settings. Therefore, we believe that the data
indicate beneficiaries have access to care and are receiving the
appropriate level of care at an appropriate cost to the Medicare
program. Further, we believe the 75 percent rule promotes equal access
to those who require an IRF level of care.
The IRF classification polices are used to identify those patients
who have a need for a more intensive level of rehabilitation than is
generally required by most patients. Recent industry reports emphasize
only a very selective subset of the CMS data, using as their starting
point the highest level of utilization and then focusing on the
relative decreases that follow. It is important to note, however, that
the highest historical level of utilization is not necessarily the most
appropriate or even the most typical level of utilization, and that
patients who need rehabilitation services have continued access to
these services in other settings, as shown by the data in the analysis
on the previously referenced Web site. For example:
Although the proportion of total knee replacement and
total hip replacement patients receiving care in IRFs has dropped
significantly since 2004, our data show that the proportions of these
patients receiving care in the other post-acute care settings are
increasing.
The SNFs, particularly, are now better able to manage
patients with musculoskeletal conditions with the introduction of 9 new
resource utilization group payment categories beginning in FY 2006.
These new payment categories compensate SNFs more fully for patients
who have both significant rehabilitation and medical needs--precisely
the type of patient who may need some level of medical monitoring but
does not require the intense level of inpatient rehabilitation services
provided in an IRF setting.
The analyses described above are part of our ongoing evaluation of
our IRF classification policies. However, although we have encouraged
research to be undertaken that would contribute to improving the
criteria for identifying appropriate IRF admissions, we have not
received results of well-designed scientific studies that would support
such changes at this time.
Comment: Several commenters stated that we should suspend
increasing the compliance percentage until we have implemented a single
post-acute assessment instrument. One commenter stated that we should
devise a price-neutral payment system to pay for care that could be
furnished in either a SNF or an IRF. Although the commenter was not
clear, we believe that by ``price-neutral payment system'' the
commenter means payments that are basically the same regardless of the
setting where the services were furnished. We refer to such a payment
system as being site-neutral. Another commenter stated that instead of
the broad 13 medical conditions we should use facility characteristics
to define a provider as an IRF. Many commenters recommended that the
medical conditions listed at Sec. 412.23(b)(2)(iii) should be updated.
Other commenters suggested that we should use more specific patient-
centered criteria than the broad 13 medical conditions in order to
identify which patients should receive care in an IRF. Similarly, a
commenter stated that a patient's overall function should be used to
determine compliance. Another commenter encouraged us to better
identify patients who ``typically'' are in need of inpatient
rehabilitation. This commenter urged CMS to consider that the
comorbidity in combination with the primary diagnosis establishes the
need for inpatient rehabilitation. Some commenters stated that the 75
percent rule is insensitive and inadequate as a tool to determine a
patient's need for IRF care.
Response: While these recommendations address issues that are
beyond the scope of this rule because they concern issues about which
we did not make any proposals, we will address them briefly because
they generally pertain to the 75 percent rule. We agree that future
data analysis and the results of well-designed scientific studies may
inform policy decisions regarding the IRF classification criteria. With
input from all our stakeholders, we will continue our efforts to make
these refinements as quickly as possible. In attempting to promote
research that better identifies the types of patients whose treatment
needs require an IRF setting, CMS has collaborated with several crucial
stakeholders to create a framework for future research. We describe
some of these efforts below.
At CMS's request, the National Center for Medical
Rehabilitation Research at the National Institute of Child Health and
Human Development
[[Page 44291]]
(NCMRR/NICHD) at the National Institutes of Health (NIH) convened a
panel in February 2005 to develop a research agenda on appropriate
settings for rehabilitation.
Recently, NCMRR/NICHD also issued a notice on the NIH Web
site recognizing the need to enhance the evidence base for clinical
practice, with a commitment to work with providers and research groups
to encourage the design of clinical studies that meet NIH standards. We
also intend to work with researchers conducting NIH-approved studies so
that they can meet their study objectives within the overall framework
of the Medicare program benefit.
Over the past year, we have been actively participating in
various NIH panel discussions to foster research in the area of medical
rehabilitation, with the goal to better identify typical
characteristics of patients in need of the intensive rehabilitative
services that only IRFs can provide. In the course of attending these
meetings, we have established connections with many of the researchers
conducting the research in this area and have been helping them to
identify the appropriate resources within CMS.
We strongly support industry research efforts by serving
on project advisory boards and by participating in industry-sponsored
meetings and research conferences.
We also want to express our support for our integrated post-acute
payment system demonstration project. As part of that demonstration, we
are developing an assessment instrument that can be used to assess
patients in different treatment settings. We expect that the
demonstration will generate much needed data on differences in patient
characteristics and treatment outcomes across settings that will be
extremely useful in our ongoing evaluation of the IRF PPS. Further, in
an effort to try to move toward a site-neutral payment system as
suggested by a commenter, the proposed FY 2008 President's Budget
includes a proposal to reduce the difference in payment between IRFs
and SNFs for total knee and hip replacements. We will continue to look
for opportunities to propose policies which move the program in the
direction of our ultimate goal of PAC payment reform.
In summary, we will continue to examine our IRF classification
polices and the criteria for identifying appropriate IRF admissions
using sound data analysis or well-designed scientific studies.
Comment: A commenter believes that our CMG data should be used to
identify the concentrations of typical conditions treated in an IRF and
use that data instead of or in combination with the 13 medical
conditions listed in the regulations as the criteria to classify a
provider as an IRF.
Response: We addressed a similar comment in the May 7, 2004 final
rule (69 FR 25752, 25758-25759) regarding why it would be inappropriate
to use the RICs to classify a provider as an IRF. The CMGs are derived
from the RICs and, thus, using CMGs to classify a provider as an IRF
would also be inappropriate. The payment system, which is based on the
RICs, was devised to pay for all the patients an IRF admits, including
the patients not counted as part of the compliance percentage the IRF
must meet. Thus, a PPS created to pay for IRF cases is different than a
classification system that specifies the percentage of patients that
must have certain medical conditions. We refer the commenter to the May
7, 2004 final rule for a more detailed explanation.
Comment: A commenter suggested that we modify our medical review
policies to assume that any claim with a qualifying diagnosis or a
comorbidity code used in the 75 percent rule calculations can be deemed
to meet Medicare's medical necessity provisions. Another commenter
stated that FIs were incorrectly performing medical necessity reviews.
The same commenter expressed concerns regarding how the Recovery Audit
Contractors (RACs) are performing their reviews. Another commenter
stated that the 75 percent rule is being used as a crude measure of
medical necessity. A few commenters suggested all local coverage
determination polices be suspended until we fully examine the issues
associated with medical necessity for IRF level of care. Another
commenter requested that we use the criteria specified in the Health
Care Financing Administration (HCFA) ruling 85-2 as the sole
determinant for the medical necessity of an IRF admission, and
implement a moratorium on new rehabilitation programs participating in
Medicare until we revise the 75 percent rule. One commenter requested
that CMS expand our policy to include additional complicating
conditions as comorbidities, which count toward compliance with the 75
percent rule.
Response: These comments relate to regulatory policies or
operational issues that are outside the scope of the rule.
Nevertheless, we address them briefly here. First, the purpose of the
comorbidity policy has been to recognize patients with one of the 13
qualifying conditions, even when that qualifying condition is not the
primary reason for the IRF admission. The effect of adding new codes
would be to inappropriately expand the set of qualifying conditions
without any clinical evidence or review. Second, our medical review
protocols and IRF compliance criteria were designed to perform two
distinct oversight functions. For example, medical review protocols are
used to ensure that claims are paid appropriately, but our IRF
classification criteria are used to ensure that only facilities that
provide intensive inpatient rehabilitation services are paid under the
IRF PPS. While we continue to work diligently to improve consistency
between the review protocols where appropriate, we realize that there
will always be some differences that reflect differences in statutory,
regulatory and operational priorities and the two distinct oversight
functions. Third, regarding the reviews performed by our contractors,
it should be noted that we believe these reviews are necessary to
ensure the integrity of the Medicare trust fund. As part of this
oversight function, we continuously review the performance of our
contractors to ensure that they are functioning in accordance with our
policies and guidance. Finally, we believe that implementing a
moratorium on new rehabilitation programs participating in Medicare
could result in restricting access to care and therefore is not
appropriate at this time.
Comment: A commenter stated that the impact of the 75 percent rule
combined with reviews being performed by FIs and RACs have decreased
IRF admissions well beyond the estimates we envisioned in the May 7,
2004 final rule (69 FR 25752). In addition, the commenter appeared to
indicate that the significant drop in IRF admissions as a result of the
75 percent rule and the contractor reviews calls into question the
validity of the revisions to Sec. 412.23(b)(2) that we made in the May
7, 2004 final rule.
Response: In evaluating the potential effect of an impending rule
change, the regulatory impact analysis represents our best effort to
project the economic impact of the change, based on the data available
at the time of publication. It is important to note that such
projections are estimates, and that they consider only the potential
effect of the change itself. Moreover, we do not use such projections
as program targets or benchmarks, but rather, conduct reviews and
analyses of program data after the change is implemented in order to
evaluate its actual impact.
In order to put a proposed change in perspective, a regulatory
impact analysis generally is projected on the
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assumption that all other variables remain constant. Thus, the
projections in a regulatory impact analysis take historical data on
provider behavior, utilization of services, and expenditure levels and
simply trend them forward, in order to show more clearly the effect of
the single policy change under review.
When we imposed the temporary moratorium on enforcing the 75
percent rule in June 2002, we assumed that provider case-mix and
utilization would remain stable while we took steps to standardize the
provider classification procedures. However, our data indicate that
during the period when the moratorium was in effect, there was actually
a pronounced increase in the volume of IRF cases involving certain
specific categories of conditions. In general, the medical conditions
in these particular rehabilitation impairment categories--lower
extremity joint replacement, cardiac, osteoarthritis, pain syndrome,
and miscellaneous--are unlikely to require intensive rehabilitation in
IRFs. According to the clinical experts that CMS consulted in revising
the 75 percent rule criteria prior to publishing the May 7, 2004 final
rule, the vast majority of patients with these medical conditions can
typically be appropriately cared for in other less intensive settings.
In addition, we have not received reports from well-designed scientific
studies showing that these medical conditions are typically appropriate
for treatment in an IRF. Thus, we continue to believe that these
medical conditions are appropriately treatable in other, less intensive
settings.
When we resumed enforcement of the 75 percent rule, the volume of
these less intensive IRF cases decreased, accompanied by a concomitant
increase in the volume of cases involving conditions that typically do
require intensive rehabilitation: brain injury and certain nervous
system conditions. This phenomenon would appear to indicate that:
The 75 percent rule accurately identifies as IRFs those
facilities serving patients who genuinely need intensive
rehabilitation; and
Significant behavior changes occurred among IRFs in
response to both the initial imposition and the subsequent lifting of
the moratorium, underscoring the inappropriateness of utilizing the
2004 final rule's regulatory impact analysis projections (which were
not designed to take possible behavior changes into account) as a
benchmark in analyzing subsequent utilization patterns.
We do not believe that the decline in IRF utilization levels for
certain conditions in the period since we lifted the moratorium is an
indication that beneficiaries are being denied access to needed care in
this setting. As explained above, we believe that the moratorium itself
may well have triggered aberrant IRF utilization patterns, which were
skewed toward certain conditions that generally do not require the
exceptionally intensive type of rehabilitation that characterizes the
IRF setting. As a consequence, what would appear to be a relative
decline in IRF utilization since that time may, in fact, represent a
return to more normal utilization patterns, which better reflect the
actual prevalence of patient need for the kind of intensive
rehabilitation that the IRF setting is intended to provide.
We will continue to review Medicare claim and patient assessment
data closely as part of our ongoing effort to monitor Medicare
beneficiary access to rehabilitation services in IRFs.
Comment: A commenter stated that the 75 percent rule